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Search found 61 results on 3 pages for 'bayesian'.

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• legit emails in junkbox

  - by acidzombie24

  Hey this is actually a reverse question. My personal email ([email protected]) is winding up in many peoples junkbox and I have no idea why. What may the cause be? Is it because it has the word Entrepreneur (and programmer) in my sig? is it because my first name is unique(european like)? Its driving me crazy. I sent out dozens of business emails a month to people I just meet so its actually hurting me much more then others :( -edit- I also want to mention this is non spam. Typically I email people I meet and say hi or to follow up. I was requested by someone to send him an email so I can test something, so I did and he replied to me 10 days later telling me he found it in his junk, like many others have said to me. -edit- bortzmeyer suggested emailing [email protected] I did and here are the results SPF check: pass DomainKeys check: pass DKIM check: pass Sender-ID check: pass SpamAssassin check: ham ---------------------------------------------------------- SpamAssassin check details: ---------------------------------------------------------- SpamAssassin v3.2.5 (2008-06-10) Result: ham (-2.6 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- -0.0 SPF_PASS SPF: sender matches SPF record -2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1% [score: 0.0000] 0.0 HTML_MESSAGE BODY: HTML included in message

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• Outlook 2007 "Mark as Not Junk" Dialog Confusion

  - by David

  Outlook 2007's "Not Junk" button opens the "Mark as Not Junk" dialog. The dialog works correctly if I keep the "Always trust e-mail from <email address>" option checked. That is, the message is removed from the Junk folder and returns to the Inbox. However, if I uncheck the "Always trust" box, pressing OK dismisses the dialog, but nothing else happens. Why not? According to Outlook help, "When you mark a message as not junk, you are given the option of adding the sender or the mailing list name to your Safe Senders List or Safe Recipients List." That sure makes it sound like this is just an option, and not necessary for the core functionality of the action. I really don't want to trust a (possibly forged) From: address, but I do want my mail back in the Inbox. I could manually drag it, but I'm assuming that marking a message as not junk also trains some kind of bayesian filter. Am I mistaken? Thanks.

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• general learning methodology

  - by momo

  just wanted to hear on the different general learning paths people embark on when learning a new language/framework. the one i currently use, which is how i learned bash and am currently learning python, is: instant hacking tutorial (very short tutorial introducing the basic syntax, variable declaration, loops, data types, etc. and how they are generally used) in depth tutorial with good programming style and slightly topic-specific (e.g. Mark Pilgrim's Dive into Python), important topics for me personally are regex methods, file IO, and ways the different data types are utilized best (i wrote a very primitive bayesian spam filter using python's dictionaries to keep track of word occurrences) spaced-repition of syntax or short recipes (i use anki, with questions like 'create dictionary with filename and filesize metadata, human-readable' or simpler ones like 'match 0 - 3 occurences of the letter M in a string', or 'return/create an iterator from two sequences') the use of spaced-repitition has been invaluable, and i credit it with the ease that i can recall/create python algorithms. however, i've recently started looking into django, and i've found that spaced-repitition, at least in my case, doesn't work very well for learning a framework, it works best with short code recipes (either that or i should start looking into more basic django framework tutorials). the problem i'm encountering is that since framework programming is not only algorithms, but actually learning the API, which can be quite complex since you have to learn all the methods, modules, the places where they are stored, and the sequence of which things have to be done. for ex. in django to start a project that deals with polls (from the django tutorial), one has to create the project, edit the settings.py file, create the polls app, edit the models.py file (which requires knowing the classes that are present in the module models), edit the urls.py file, etc. i found that my spaced-repition method didn't work very well for this type of learning, so i wanted to ask you guys what method(s) you use for learning the different frameworks/APIs.

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• how to apply iddata into calculation?

  - by Sam

  I am trying to figure out how to combine the input and output data into the ARX model and then apply it into the BIC (Bayesian Information Criterion) formula. Below is the code that I am currently working on: for i=1:30; %% Set Model Order data=iddata(output,input,1); model = arx(data,[8 9 i]); yp = predict(model,data); ye = regress(data,yp{1,1}(1:4018,1)); M(i) = var(yp); BIC(i)=(N+i*(log(N)-1))/(N-i)*log(M(i)); end But it does not work. It keep on giving me an error something like below: "The syntax "Data{...}" is not supported. Use the "getexp" command to extract individual experiments from an IDDATA object." I did not understand what does that mean. Can someone explain it to me and where do I do wrong on my piece of code? Thanks in advance. Sam.

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• Online job-searching is tedious. Help me automate it.

  - by ehsanul

  Many job sites have broken searches that don't let you narrow down jobs by experience level. Even when they do, it's usually wrong. This requires you to wade through hundreds of postings that you can't apply for before finding a relevant one, quite tedious. Since I'd rather focus on writing cover letters etc., I want to write a program to look through a large number of postings, and save the URLs of just those jobs that don't require years of experience. I don't require help writing the scraper to get the html bodies of possibly relevant job posts. The issue is accurately detecting the level of experience required for the job. This should not be too difficult as job posts are usually very explicit about this ("must have 5 years experience in..."), but there may be some issues with overly simple solutions. In my case, I'm looking for entry-level positions. Often they don't say "entry-level", but inclusion of the words probably means the job should be saved. Next, I can safely exclude a job the says it requires "5 years" of experience in whatever, so a regex like /\d\syears/ seems reasonable to exclude jobs. But then, I realized some jobs say they'll take 0-2 years of experience, matches the exclusion regex but is clearly a job I want to take a look at. Hmmm, I can handle that with another regex. But some say "less than 2 years" or "fewer than 2 years". Can handle that too, but it makes me wonder what other patterns I'm not thinking of, and possibly excluding many jobs. That's what brings me here, to find a better way to do this than regexes, if there is one. I'd like to minimize the false negative rate and save all the jobs that seem like they might not require many years of experience. Does excluding anything that matches /[3-9]\syears|1\d\syears/ seem reasonable? Or is there a better way? Training a bayesian filter maybe?

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• Best way to implement plugin framework - are DLLs the only way (C/C++ project)?

  - by Microkernel

  Introduction: I am currently developing a document classifier software in C/C++ and I will be using Naive-Bayesian model for classification. But I wanted the users to use any algorithm that they want(or I want in the future), hence I went to separate the algorithm part in the architecture as a plugin that will be attached to the main app @ app start-up. Hence any user can write his own algorithm as a plugin and use it with my app. Problem Statement: The way I am intending to develop this is to have each of the algorithms that user wants to use to be made into a DLL file and put into a specific directory. And at the start, my app will search for all the DLLs in that directory and load them. My Questions: (1) What if a malicious code is made as a DLL (and that will have same functions mandated by plugin framework) and put into my plugins directory? In that case, my app will think that its a plugin and picks it and calls its functions, so the malicious code can easily bring down my entire app down (In the worst case could make my app as a malicious code launcher!!!). (2) Is using DLLs the only way available to implement plugin design pattern? (Not only for the fear of malicious plugin, but its a generic question out of curiosity :) ) (3) I think a lot of softwares are written with plugin model for extendability, if so, how do they defend against such attacks? (4) In general what do you think about my decision to use plugin model for extendability (do you think I should look at any other alternatives?) Thank you -MicroKernel :)

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• Form, function and complexity in rule processing

  - by Charles Young

  Tim Bass posted on ‘Orwellian Event Processing’. I was involved in a heated exchange in the comments, and he has more recently published a post entitled ‘Disadvantages of Rule-Based Systems (Part 1)’. Whatever the rights and wrongs of our exchange, it clearly failed to generate any agreement or understanding of our different positions. I don't particularly want to promote further argument of that kind, but I do want to take the opportunity of offering a different perspective on rule-processing and an explanation of my comments. For me, the ‘red rag’ lay in Tim’s claim that “...rules alone are highly inefficient for most classes of (not simple) problems” and a later paragraph that appears to equate the simplicity of form (‘IF-THEN-ELSE’) with simplicity of function.   It is not the first time Tim has expressed these views and not the first time I have responded to his assertions.   Indeed, Tim has a long history of commenting on the subject of complex event processing (CEP) and, less often, rule processing in ‘robust’ terms, often asserting that very many other people’s opinions on this subject are mistaken.   In turn, I am of the opinion that, certainly in terms of rule processing, which is an area in which I have a specific interest and knowledge, he is often mistaken. There is no simple answer to the fundamental question ‘what is a rule?’ We use the word in a very fluid fashion in English. Likewise, the term ‘rule processing’, as used widely in IT, is equally difficult to define simplistically. The best way to envisage the term is as a ‘centre of gravity’ within a wider domain. That domain contains many other ‘centres of gravity’, including CEP, statistical analytics, neural networks, natural language processing and so much more. Whole communities tend to gravitate towards and build themselves around some of these centres. The term 'rule processing' is associated with many different technology types, various software products, different architectural patterns, the functional capability of many applications and services, etc. There is considerable variation amongst these different technologies, techniques and products. Very broadly, a common theme is their ability to manage certain types of processing and problem solving through declarative, or semi-declarative, statements of propositional logic bound to action-based consequences. It is generally important to be able to decouple these statements from other parts of an overall system or architecture so that they can be managed and deployed independently.  As a centre of gravity, ‘rule processing’ is no island. It exists in the context of a domain of discourse that is, itself, highly interconnected and continuous.   Rule processing does not, for example, exist in splendid isolation to natural language processing.   On the contrary, an on-going theme of rule processing is to find better ways to express rules in natural language and map these to executable forms.   Rule processing does not exist in splendid isolation to CEP.   On the contrary, an event processing agent can reasonably be considered as a rule engine (a theme in ‘Power of Events’ by David Luckham).   Rule processing does not live in splendid isolation to statistical approaches such as Bayesian analytics. On the contrary, rule processing and statistical analytics are highly synergistic.   Rule processing does not even live in splendid isolation to neural networks. For example, significant research has centred on finding ways to translate trained nets into explicit rule sets in order to support forms of validation and facilitate insight into the knowledge stored in those nets. What about simplicity of form?   Many rule processing technologies do indeed use a very simple form (‘If...Then’, ‘When...Do’, etc.)   However, it is a fundamental mistake to equate simplicity of form with simplicity of function.   It is absolutely mistaken to suggest that simplicity of form is a barrier to the efficient handling of complexity.   There are countless real-world examples which serve to disprove that notion.   Indeed, simplicity of form is often the key to handling complexity. Does rule processing offer a ‘one size fits all’. No, of course not.   No serious commentator suggests it does.   Does the design and management of large knowledge bases, expressed as rules, become difficult?   Yes, it can do, but that is true of any large knowledge base, regardless of the form in which knowledge is expressed.   The measure of complexity is not a function of rule set size or rule form.  It tends to be correlated more strongly with the size of the ‘problem space’ (‘search space’) which is something quite different.   Analysis of the problem space and the algorithms we use to search through that space are, of course, the very things we use to derive objective measures of the complexity of a given problem. This is basic computer science and common practice. Sailing a Dreadnaught through the sea of information technology and lobbing shells at some of the islands we encounter along the way does no one any good.   Building bridges and causeways between islands so that the inhabitants can collaborate in open discourse offers hope of real progress.

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• Preoblem with Precision floating point operation in C

  - by Microkernel

  Hi Guys, For one of my course project I started implementing "Naive Bayesian classifier" in C. My project is to implement a document classifier application (especially Spam) using huge training data. Now I have problem implementing the algorithm because of the limitations in the C's datatype. ( Algorithm I am using is given here, http://en.wikipedia.org/wiki/Bayesian_spam_filtering ) PROBLEM STATEMENT: The algorithm involves taking each word in a document and calculating probability of it being spam word. If p1, p2 p3 .... pn are probabilities of word-1, 2, 3 ... n. The probability of doc being spam or not is calculated using Here, probability value can be very easily around 0.01. So even if I use datatype "double" my calculation will go for a toss. To confirm this I wrote a sample code given below. #define PROBABILITY_OF_UNLIKELY_SPAM_WORD (0.01) #define PROBABILITY_OF_MOSTLY_SPAM_WORD (0.99) int main() { int index; long double numerator = 1.0; long double denom1 = 1.0, denom2 = 1.0; long double doc_spam_prob; /* Simulating FEW unlikely spam words */ for(index = 0; index < 162; index++) { numerator = numerator*(long double)PROBABILITY_OF_UNLIKELY_SPAM_WORD; denom2 = denom2*(long double)PROBABILITY_OF_UNLIKELY_SPAM_WORD; denom1 = denom1*(long double)(1 - PROBABILITY_OF_UNLIKELY_SPAM_WORD); } /* Simulating lot of mostly definite spam words */ for (index = 0; index < 1000; index++) { numerator = numerator*(long double)PROBABILITY_OF_MOSTLY_SPAM_WORD; denom2 = denom2*(long double)PROBABILITY_OF_MOSTLY_SPAM_WORD; denom1 = denom1*(long double)(1- PROBABILITY_OF_MOSTLY_SPAM_WORD); } doc_spam_prob= (numerator/(denom1+denom2)); return 0; } I tried Float, double and even long double datatypes but still same problem. Hence, say in a 100K words document I am analyzing, if just 162 words are having 1% spam probability and remaining 99838 are conspicuously spam words, then still my app will say it as Not Spam doc because of Precision error (as numerator easily goes to ZERO)!!!. This is the first time I am hitting such issue. So how exactly should this problem be tackled?

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• Problem with Precision floating point operation in C

  - by Microkernel

  Hi Guys, For one of my course project I started implementing "Naive Bayesian classifier" in C. My project is to implement a document classifier application (especially Spam) using huge training data. Now I have problem implementing the algorithm because of the limitations in the C's datatype. ( Algorithm I am using is given here, http://en.wikipedia.org/wiki/Bayesian_spam_filtering ) PROBLEM STATEMENT: The algorithm involves taking each word in a document and calculating probability of it being spam word. If p1, p2 p3 .... pn are probabilities of word-1, 2, 3 ... n. The probability of doc being spam or not is calculated using Here, probability value can be very easily around 0.01. So even if I use datatype "double" my calculation will go for a toss. To confirm this I wrote a sample code given below. #define PROBABILITY_OF_UNLIKELY_SPAM_WORD (0.01) #define PROBABILITY_OF_MOSTLY_SPAM_WORD (0.99) int main() { int index; long double numerator = 1.0; long double denom1 = 1.0, denom2 = 1.0; long double doc_spam_prob; /* Simulating FEW unlikely spam words */ for(index = 0; index < 162; index++) { numerator = numerator*(long double)PROBABILITY_OF_UNLIKELY_SPAM_WORD; denom2 = denom2*(long double)PROBABILITY_OF_UNLIKELY_SPAM_WORD; denom1 = denom1*(long double)(1 - PROBABILITY_OF_UNLIKELY_SPAM_WORD); } /* Simulating lot of mostly definite spam words */ for (index = 0; index < 1000; index++) { numerator = numerator*(long double)PROBABILITY_OF_MOSTLY_SPAM_WORD; denom2 = denom2*(long double)PROBABILITY_OF_MOSTLY_SPAM_WORD; denom1 = denom1*(long double)(1- PROBABILITY_OF_MOSTLY_SPAM_WORD); } doc_spam_prob= (numerator/(denom1+denom2)); return 0; } I tried Float, double and even long double datatypes but still same problem. Hence, say in a 100K words document I am analyzing, if just 162 words are having 1% spam probability and remaining 99838 are conspicuously spam words, then still my app will say it as Not Spam doc because of Precision error (as numerator easily goes to ZERO)!!!. This is the first time I am hitting such issue. So how exactly should this problem be tackled?

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• How to set up spf records to send mail from google hosted apps to gmail addresses

  - by Chris Adams

  Hi there, I'm trying to work out why email I send from one domain I own is rejected by another that I own, and while I think it may be related to how I've setup spf records, I'm not sure what steps I need to take to fix it. Here's the error message I receive: Technical details of permanent failure: Google tried to deliver your message, but it was rejected by the recipient domain. We recommend contacting the other email provider for further information about the cause of this error. The error that the other server returned was: 550 550-Verification failed for <[email protected]> 550-No Such User Here 550 Sender verify failed (state 14). Here's the response from [email protected] Delivered-To: [email protected] Received: by 10.86.92.9 with SMTP id p9cs85371fgb; Wed, 2 Sep 2009 22:33:32 -0700 (PDT) Received: by 10.90.205.4 with SMTP id c4mr2406190agg.29.1251956007562; Wed, 02 Sep 2009 22:33:27 -0700 (PDT) Return-Path: <[email protected]> Received: from verifier.port25.com (207-36-201-235.ptr.primarydns.com [207.36.201.235]) by mx.google.com with ESMTP id 26si831174aga.24.2009.09.02.22.33.25; Wed, 02 Sep 2009 22:33:26 -0700 (PDT) Received-SPF: pass (google.com: domain of [email protected] designates 207.36.201.235 as permitted sender) client-ip=207.36.201.235; Authentication-Results: mx.google.com; spf=pass (google.com: domain of [email protected] designates 207.36.201.235 as permitted sender) [email protected]; dkim=pass [email protected] DKIM-Signature: v=1; a=rsa-sha1; c=relaxed/relaxed; s=auth; d=port25.com; h=Date:From:To:Subject:Message-Id:In-Reply-To; [email protected]; bh=GRMrcnoucTl4upzqJYTG5sOZMLU=; b=uk6TjADEyZVRkceQGjH94ZzfVeRTsiZPzbXuhlqDt1m+kh1zmdUEoiTOzd89ryCHMbVcnG1JajBj 5vOMKYtA3g== DomainKey-Signature: a=rsa-sha1; c=nofws; q=dns; s=auth; d=port25.com; b=NqKCPK00Xt49lbeO009xy4ZRgMGpghvcgfhjNy7+qI89XKTzi6IUW0hYqCQyHkd2p5a1Zjez2ZMC l0u9CpZD3Q==; Received: from verifier.port25.com (127.0.0.1) by verifier.port25.com (PowerMTA(TM) v3.6a1) id hjt9pq0hse8u for <[email protected]>; Thu, 3 Sep 2009 01:26:52 -0400 (envelope-from <[email protected]>) Date: Thu, 3 Sep 2009 01:26:52 -0400 From: [email protected] To: [email protected] Subject: Authentication Report Message-Id: <[email protected]> Precedence: junk (auto_reply) In-Reply-To: <[email protected]> This message is an automatic response from Port25's authentication verifier service at verifier.port25.com. The service allows email senders to perform a simple check of various sender authentication mechanisms. It is provided free of charge, in the hope that it is useful to the email community. While it is not officially supported, we welcome any feedback you may have at <[email protected]>. Thank you for using the verifier, The Port25 Solutions, Inc. team ========================================================== Summary of Results ========================================================== SPF check: pass DomainKeys check: neutral DKIM check: neutral Sender-ID check: pass SpamAssassin check: ham ========================================================== Details: ========================================================== HELO hostname: fg-out-1718.google.com Source IP: 72.14.220.158 mail-from: [email protected] ---------------------------------------------------------- SPF check details: ---------------------------------------------------------- Result: pass ID(s) verified: [email protected] DNS record(s): stemcel.co.uk. 14400 IN TXT "v=spf1 include:aspmx.googlemail.com ~all" aspmx.googlemail.com. 7200 IN TXT "v=spf1 redirect=_spf.google.com" _spf.google.com. 300 IN TXT "v=spf1 ip4:216.239.32.0/19 ip4:64.233.160.0/19 ip4:66.249.80.0/20 ip4:72.14.192.0/18 ip4:209.85.128.0/17 ip4:66.102.0.0/20 ip4:74.125.0.0/16 ip4:64.18.0.0/20 ip4:207.126.144.0/20 ?all" ---------------------------------------------------------- DomainKeys check details: ---------------------------------------------------------- Result: neutral (message not signed) ID(s) verified: [email protected] DNS record(s): ---------------------------------------------------------- DKIM check details: ---------------------------------------------------------- Result: neutral (message not signed) ID(s) verified: NOTE: DKIM checking has been performed based on the latest DKIM specs (RFC 4871 or draft-ietf-dkim-base-10) and verification may fail for older versions. If you are using Port25's PowerMTA, you need to use version 3.2r11 or later to get a compatible version of DKIM. ---------------------------------------------------------- Sender-ID check details: ---------------------------------------------------------- Result: pass ID(s) verified: [email protected] DNS record(s): stemcel.co.uk. 14400 IN TXT "v=spf1 include:aspmx.googlemail.com ~all" aspmx.googlemail.com. 7200 IN TXT "v=spf1 redirect=_spf.google.com" _spf.google.com. 300 IN TXT "v=spf1 ip4:216.239.32.0/19 ip4:64.233.160.0/19 ip4:66.249.80.0/20 ip4:72.14.192.0/18 ip4:209.85.128.0/17 ip4:66.102.0.0/20 ip4:74.125.0.0/16 ip4:64.18.0.0/20 ip4:207.126.144.0/20 ?all" ---------------------------------------------------------- SpamAssassin check details: ---------------------------------------------------------- SpamAssassin v3.2.5 (2008-06-10) Result: ham (-2.6 points, 5.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- -0.0 SPF_PASS SPF: sender matches SPF record -2.6 BAYES_00 BODY: Bayesian spam probability is 0 to 1% [score: 0.0000] 0.0 HTML_MESSAGE BODY: HTML included in message I've registered the spf records for my domain, as advised here Both domains pass validate according to Kitterman's spf record testing tools, so I'm somewhat confused about this. I also have the catchall address set up on the stemcel.co.uk domain here, but I don't have one setup for chrisadams.me.uk. Instead, we have the following forwarders setup [email protected] to [email protected] [email protected] to [email protected] [email protected] to [email protected] [email protected] to [email protected] Any ideas how to get this working? I'm not sure what I should be looking for here.

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• CodePlex Daily Summary for Wednesday, February 17, 2010

  CodePlex Daily Summary for Wednesday, February 17, 2010New ProjectsAcademic Success Accounting System: The system is intended to use by school teacher to set marks to students and estimate their academic success and possibilities. The client applicat...Access.PowerTools: Access PowerTools is currently a sample MS Access add-in project to try & test features of Add-in Express™ 2009 for Microsoft® Office and .net (ht...AntoonCms: AntoonCms makes it easy to maintain a simple website with it's builtin administration pages. It's developed in C# on target Framework 2.0 The CMS...ASP.NET MVC Mehr Lib: Mehr Lib makes it easier for ASP.NET MVC developers to do develop projects. It's developed in C#. This version currently include Ajax master detail...BCryptTool: Developer tool that calculates BCrypt hash codes for strings. BCrypt is an implementation of the Blowfish cipher and a computationally-expensive ha...Coronasoft Cryostasis scripting engine: A scripting engine that allows you to dynamically load plugins from just about any supported .NET language. Its written in C#. Languages supported ...Critical Point Search: Critical Point Searchcritical points: critical pointsFont Family Name Retrieval: This library helps developer to retrieve the font family name from the TTF, OTF and TTC font files, so that developer can display the font without ...jQuery Form Input Hints Plugin: Automatically display hints on input textboxes in your forms using this jQuery plugin. I wrote this code to be as simple and as easy to use as pos...Kojax: kojax projectKronRetro: KronRetro! Making a Habbo Retro just got easier! Powered by PHP & MySQL you can make a Habbo Retro site fast!MVVM Wrapper Kit: MVVM Wrapper Kit makes it easier for View Model programmers to wrap their business objects and collections while preserving change notification and...ObjectCartographer: ObjectCartographer is an object to object mapper and object factory. It's developed in C#.PE-file Reader Writer API (PERWAPI): PERWAPI is a reader writer module for .NET program executables. It has been used as back-end for progamming language compilers such as Gardens Poi...Pinger: A simple Pinger, pings an address until you press a buttonQPV: 0.1: QPV aka Que pelicula es una aplicacion que consiste crear una base de datos potente de peliculas, criticas e informacion para poder filtrar pelicul...SIMD Detector: This SIMD class helps developers to detect the types of SIMD instruction available on users' processor. It supports Intel and AMD CPUs. It is writt...StackOverflow Test Project: Following Andrew Siemer's StackOverflow Knowledge Exchange Project.WeBlog: A blogging platform built on the MVC framework The project will showcase current technologies such as MVC 2, Silverlight 4 and jQuery 1.4. Data pro...Webmedia: this is my webmedia projectWindows Azure RSS Reader: This is and online RSS reader based on the Windows Azure platformWordEditor. A Word Editor for Windows, and an extended RichTextBox control.: This is a word editor that can be used as a stand alone word processor, or added to an existing project.Домашняя Бухгалтерия: Программа для ведения домашнего бухгалтерского учета финансов. New ReleasesAccess.PowerTools: Access PowerTools Add-In Community Edition v.0.0.1: Access PowerTools Add-In Community Edition v.0.0.1 is a sample MS Access add-in project to try & test Add-in Express™ 2009 for Microsoft® Office an...Active CSS: ActiveCSS-0.1.1: revision for version 0.1ASP.NET: Microsoft Ajax Minifier 4.0: The Microsoft Ajax Minifier enables you to improve the performance of your Ajax applications by reducing the size of your Cascading Style Sheet and...ASP.NET MVC Mehr Lib: V1.0: Mehr Lib V1.0 This version currently include ajax master detail combo facilities.ASP.net Ribbon: Version 1.2: New controls : Expandable gallery Color Picker Multi color File Menu Some JS modifications. Some CSS modifications. Includes some functionna...ASP.NET Web Forms Model-View-Presenter (MVP) Contrib: WebForms MVP Contrib CTP6: This is a release of the WebForms MVP Contrib project for WebForms MVP CTP6. Release includes: WebForms MVP Contrib framework Ninject IoC containerAwesomiumDotNet: AwesomiumDotNet 1.2.1: - Added Awesomium 1.5 features: URL filtering, header rewrite rules, SetOpensExternalLinksInCallingFrame. - Numerous fixes and improvements.BCryptTool: BCryptTool v0.1: The Microsoft .NET Framework 3.5 (SP1) is needed to run this program.Buzz Dot Net: Buzz Dot Net v.1.10216: Features Parse Google Buzz feed to Objects Partial MVVM Implementation Partial OptimizationsCanvas VSDOC Intellisense: v1.0.0.0a: canvas-vsdoc.js and canvas-utils.js JavaScript intellisense for HTML5 Canvas element.CheckHeader: CheckHeader v0.8.5: The Microsoft .NET Framework 3.5 (SP1) is needed to run this program.Claymore MVP: Claymore 1.0.2.0: Changelog Added ASP.NET WebForm support via ClaymoreHttpModule class. Added xsd schema for Visual Studio Intellisense within App.config and Web....Dam Gd - URL Shortner: Dam.gd Version 1.1: This is the latest instalment in our URL shortner. It uses The Easy API http://theeasyapi.com to access data that is used for the back-end analyti...D-AMPS: D-AMPS 0.9.1: Initial version.easySMS: easySMS 1.0 Source code: easySMS 1.0 Source codeFont Family Name Retrieval: 1st Release: Version 1.0.0Free Silverlight & WPF Chart Control - Visifire: Visifire Now Supports DataBinding: Hi, Today we are releasing the much awaited DataBinding feature in Visifire 3.0.3 beta 3. Now you can Bind any DataSource at the Series level so t...GenerateTypedBamApi: Version 2.0: Changes in this release: NEW: Export functionality no longer requires Excel to be installed (uses OLE DB vs. Excel Automation; also enables usage i...Gmail Notifier 2: GmailNotifier2 1.2.1: Fixes issues #9652, #9653iTuner - The iTunes Companion: iTuner 1.1.3699: This includes the first pass of the iTuner Librarian including management of dead tracks, duplicates, and empty directories... While I promised a ...jQuery Form Input Hints Plugin: jQuery.InputHints v1.0: jQuery.InputHints v1.0 Includes Standard & minified source Demo HTML file VS2008 SolutionLibWowArmory: LibWowArmory 0.2.3 beta: LibWowArmory 0.2.3 betaThis release of the LibWowArmory source code matches the WoW Armory as of version 3.3.2. Changes since version 0.2.2:Update...Managed Extensibility Framework: MEF Preview 9: We have merged the .net 3.5 and Silverlight 3 into a single zip. 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