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  • How to program a neural network for chess?

    - by marco92w
    Hello! I want to program a chess engine which learns to make good moves and win against other players. I've already coded a representation of the chess board and a function which outputs all possible moves. So I only need an evaluation function which says how good a given situation of the board is. Therefore, I would like to use an artificial neural network which should then evaluate a given position. The output should be a numerical value. The higher the value is, the better is the position for the white player. My approach is to build a network of 385 neurons: There are six unique chess pieces and 64 fields on the board. So for every field we take 6 neurons (1 for every piece). If there is a white piece, the input value is 1. If there is a black piece, the value is -1. And if there is no piece of that sort on that field, the value is 0. In addition to that there should be 1 neuron for the player to move. If it is White's turn, the input value is 1 and if it's Black's turn, the value is -1. I think that configuration of the neural network is quite good. But the main part is missing: How can I implement this neural network into a coding language (e.g. Delphi)? I think the weights for each neuron should be the same in the beginning. Depending on the result of a match, the weights should then be adjusted. But how? I think I should let 2 computer players (both using my engine) play against each other. If White wins, Black gets the feedback that its weights aren't good. So it would be great if you could help me implementing the neural network into a coding language (best would be Delphi, otherwise pseudo-code). Thanks in advance!

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  • Infor PM (Business Intelligence solution)

    - by Andrew
    We are currently implementing the commercial Infor PM (Performance Management) package as a business intelligence tool. Infor PM website It is apparently used by over 1,000 companies around the world, but I have found scant information about it on the net except for what's on their own website. It covers the whole range of data warehousing and BI functions with: an OLAP environment an ETL tool a report writer (called Application Studio) an add-on to Excel to connect to the data in the cubes through a pivot table etc Does anyone have any experience with using this package? How does it compare to the big players in BI (Cognos, Microsoft SSAS, Business Objects, etc). Any pitfalls I should know about? On the other hand, does it do anything better than its competitors?

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  • Oracle Business Intelligence Advanced - Hands-on Workshop para Parceiros - 18 a 21 de Janeiro

    - by Claudia Costa
    Workshop Description This FREE hands-on workshop highlights strengths of OBIEE 11g by providing attendees a hands-on experience with BI 11g product. OBIEE 11g has adopted the standardized infrastructure of Fusion Middleware to provide robust server capability along with highly anticipated advanced visualization components like Maps, Flash based charts, Scorecards and KPIs. This workshop focuses on new features and infrastructure components for the BI practitioners who are familiar with either OBIEE 10g or previous BI releases. After taking this course, Oracle Business Intelligence 11g Advanced, you will gain insight into OBIEE11g technology, reporting solutions and new features. Workshop provides opportunities to practice with OBIEE11g environment as hands on activities. Participant will gain in-depth understanding of new architecture of OBIEE 11g, security mode, installation/configuration as well as reporting aspects like, new ROLAP/MOLAP style hierarchical browsing, new chart types, Action Framework and Advanced Visualization. If you are a Business Intelligence practitioners and familiar with BI10g - you cannot afford to miss this 3-day workshop. Register Now! PresentationsBusiness Intelligence EE (OBIEE) 11g: Advanced Workshop ·         OBIEE 11g Overview ·         OBIEE 11g Architecture and Infrastructure ·         OBIEE 11g Installation, Configuration and Monitoring ·         OBIEE11g Security Model and BI Components ·         OBIEE 11g Homepage Overview ·         New Visualizations: Master-Detail Events, Charts, Hierarchies ·         Reports Building with OBIEE 11g and Catalog Management ·         Spatial Integration, Action Framework, Scorecards ·         OBIEE 11g Dashboards ·         OBIEE Integration Options  Lab OutlineOracle Business Intelligence (OBIEE) 11g: Advanced Workshop The labs enable OBIEE Core functionality through hands-on activities are based on a Oracle VirtualBox image with software and training samples pre-installed. This Advanced course has few labs optional during the workshop to allow for students to practice them on their own. The primary purpose of the workshop is to provide expertise of 11g features and infrastructure changes from 10g. Labs will allow you to explore concepts to: ·         Have a clear understanding of the OBIEE 11g architecture ·         Have a clear understanding of the OBIEE differentiators ·         OBIEE11g Security Model ·         OBIEE11g Environment Management ·         Report Building with OBIEE11g ·         OBIEE11g Dashboard and Homepage Environment ·         New Visualization features ·         Management of Reports, Dashboards and BI Catalog Objects Audience ·         Business Intelligence Evangelist ·         Business Intelligence Application Developer or Consultant ·         Data Warehouse Developer ·         Enterprise Architects ·         Industry Solutions Architects Prerequisites ·         Experience and Understanding of OBIEE 10g is required. ·         Good understanding of data modeling for reporting purpose ·         Strong experience with database technologies preferred Equipment RequirementsThis workshop requires attendees to provide their own laptops. Attendee laptops must meet the following minimum hardware/software requirements: OBIEE 11g environments requires at least 3 GB of RAM (4GB Preferred), without which student will not be able to complete labs. This workshop has environment that includes VM Image and also a software components that students will install on their laptop for the labs. ·         Minimum 3GB RAM. 25GB free disk space ·         Internet Explorer 7 ·         VirtualBox (the latest version) ·         Downloadable from http://www.virtualbox.org ·         WINRAR or 7zip ·         Downloadable from http://www.win-rar.com/download.html ·         Downloadable from http://www.7zip.com/ Attendees will be given a VirtualBox image for Oraclee BI 11g Workshop containing the software along with required toolset, database and data sets for the labs. AgendaThis class duration is 3 Days9:00am: Sign-in and Technical Set up9:30am : Workshop Starts5:00pm : Workhop Ends LocalHotel Holiday Inn Express - Porto Salvo - Lisboa This class is Free. Register early to confirm a seat! Oracle BI Advanced 11g Hands-on Workshop - Schedule Register Now! January 11-13, 2011: Kista, Sweden January 18-20, 2011: Lisbon, Portugal March 1-3, 2011: Reading, Berkshire, UK March 15-17, 2011: Colombes, Paris, France March 29-31, 2011: Amsterdam, Netherlands Questions? For registration questions please send an email to [email protected]. Para outras informações, por favor contacte Claudia Costa, telf: 214235027 ou pelo email   

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  • Today's $10 Deal from APress - Next-Generation Business Intelligence Software with Silverlight 3

    - by TATWORTH
    Today's $10 deal from Apress is " Next-Generation Business Intelligence Software with Silverlight 3 Business intelligence (BI) software is the code and tools that allow you to view different components of a business using a single visual platform, making comprehending mountains of data easier. BI is everywhere. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of BI applications. Currently, we are in the second generation of BI software, called BI 2.0. This generation is focused on writing BI software that is predictive, adaptive, simple, and interactive. Next-Generation Business Intelligence Software with Rich Internet Applications brings you up to speed with the latest BI concepts."

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  • Applied Security for Oracle Business Intelligence Podcast

    - by Tim Dexter
    Listen to BI Security Meister, Bryan Wise talk about his recent book Applied Oracle Security and learn about the cutting edge techniques for Oracle Business Intelligence from a leading security expert. http://www.oracle.com/podcasts/author-podcasts.html - Applied Security for Oracle Business Intelligence Well worth the listen and of course the book is available at all discerning bookstores!

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  • Business Intelligence avec SQL Server 2008 R2 de Sébastien Fantini, critique par Celinio Fernandes

    Bonjour La rédaction de DVP a lu pour vous l'ouvrage suivant: Business Intelligence avec SQL Server 2008 R2 de Sébastien Fantini paru aux Editions ENI [IMG]http://images-eu.amazon.com/images/P/274605566X.08.LZZZZZZZ.jpg[/IMG] Citation: Ce livre sur la Business Intelligence (BI) avec SQL Server 2008 R2, s'adresse à tous les membres d'une équipe décisionnelle : chef de projet, architecte, développeur ETL,...

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  • The importance of Business Intelligence and new emerging trends

    Joe Thomas, Sr Product Director, Business Intelligence Applications and Jon Corliss, Manager, Oracle Enterprise Applications for Hitachi Consulting talk with Fred about the importance of Business Intelligence, some of the current trends as well as how Hitachi Consulting is working with customers and Oracle to deliver the benefits of BI.

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  • Oracle Business Intelligence Applications

    Get an understanding of Oracle Business Intelligence (BI) from Joe Thomas, Senior Director, Oracle BI Applications. Learn about Oracle’s BI strategy, offerings and how customers are getting the information they need to make better decisions today with Oracle Business Intelligence Applications.

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  • 1st New England Business Intelligence Code Camp

    This is a major Business Intelligence community event for Developers and IT professionals that focus on building real-world BI solutions using the Microsoft Business Intelligence Platform tools and technology on May 22nd 2010! May 22 in Waltham, MA

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  • Apress Deal of the Day - 18/Mar/2010 - Silverlight 4 Business Intelligence Software

    - by TATWORTH
    Today's $10 Deal of the day offer from Apress at http://www.apress.com/info/dailydeal is "Silverlight 4 Business Intelligence Software Business Intelligence (BI) software allows you to view different components of a business using a single visual platform, which makes comprehending mountains of data easier. This book shows BI concepts put into action using Silverlight 4." It was previously on on Feb/11

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  • Boosting my GA with Neural Networks and/or Reinforcement Learning

    - by AlexT
    As I have mentioned in previous questions I am writing a maze solving application to help me learn about more theoretical CS subjects, after some trouble I've got a Genetic Algorithm working that can evolve a set of rules (handled by boolean values) in order to find a good solution through a maze. That being said, the GA alone is okay, but I'd like to beef it up with a Neural Network, even though I have no real working knowledge of Neural Networks (no formal theoretical CS education). After doing a bit of reading on the subject I found that a Neural Network could be used to train a genome in order to improve results. Let's say I have a genome (group of genes), such as 1 0 0 1 0 1 0 1 0 1 1 1 0 0... How could I use a Neural Network (I'm assuming MLP?) to train and improve my genome? In addition to this as I know nothing about Neural Networks I've been looking into implementing some form of Reinforcement Learning, using my maze matrix (2 dimensional array), although I'm a bit stuck on what the following algorithm wants from me: (from http://people.revoledu.com/kardi/tutorial/ReinforcementLearning/Q-Learning-Algorithm.htm) 1. Set parameter , and environment reward matrix R 2. Initialize matrix Q as zero matrix 3. For each episode: * Select random initial state * Do while not reach goal state o Select one among all possible actions for the current state o Using this possible action, consider to go to the next state o Get maximum Q value of this next state based on all possible actions o Compute o Set the next state as the current state End Do End For The big problem for me is implementing a reward matrix R and what a Q matrix exactly is, and getting the Q value. I use a multi-dimensional array for my maze and enum states for every move. How would this be used in a Q-Learning algorithm? If someone could help out by explaining what I would need to do to implement the following, preferably in Java although C# would be nice too, possibly with some source code examples it'd be appreciated.

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  • Help with Neuroph neural network

    - by user359708
    For my graduate research I am creating a neural network that trains to recognize images. I am going much more complex than just taking a grid of RGB values, downsampling, and and sending them to the input of the network, like many examples do. I actually use over 100 independently trained neural networks that detect features, such as lines, shading patterns, etc. Much more like the human eye, and it works really well so far! The problem is I have quite a bit of training data. I show it over 100 examples of what a car looks like. Then 100 examples of what a person looks like. Then over 100 of what a dog looks like, etc. This is quite a bit of training data! Currently I am running at about one week to train the network. This is kind of killing my progress, as I need to adjust and retrain. I am using Neuroph, as the low-level neural network API. I am running a dual-quadcore machine(16 cores with hyperthreading), so this should be fast. My processor percent is at only 5%. Are there any tricks on Neuroph performance? Or Java peroformance in general? Suggestions? I am a cognitive psych doctoral student, and I am decent as a programmer, but do not know a great deal about performance programming.

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  • Entropy using Decision Tree's

    - by Matt Clements
    Train a decision tree on the data represented by attributes A1, A2, A3 and outcome C described below: A1 A2 A3 C 1 0 1 0 0 1 1 1 0 0 1 0 For log2(1/3) = 1.6 and log2(2/3) = 0.6, answer the following questions: a) What is the value of entropy H for the given set of training example? b) What is the portion of the positive samples split by attribute A2? c) What is the value of information gain, G(A2), of attribute A2? d) What is IFTHEN rule(s) for the decision tree?

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  • whats the diference between train, validation and test set, in neural networks?

    - by Daniel
    Im using this library http://pastebin.com/raw.php?i=aMtVv4RZ to implement a learning agent. I have generated the train cases, but i dont know for sure what are the validation and test sets, the teacher says: 70% should be train cases, 10% will be test cases and the rest 20% should be validation cases. Thanks. edit i have this code, for training.. but i have no ideia when to stop training.. def train(self, train, validation, N=0.3, M=0.1): # N: learning rate # M: momentum factor accuracy = list() while(True): error = 0.0 for p in train: input, target = p self.update(input) error = error + self.backPropagate(target, N, M) print "validation" total = 0 for p in validation: input, target = p output = self.update(input) total += sum([abs(target - output) for target, output in zip(target, output)]) #calculates sum of absolute diference between target and output accuracy.append(total) print min(accuracy) print sum(accuracy[-5:])/5 #if i % 100 == 0: print 'error %-14f' % error if ? < ?: break

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  • Word characteristics tags

    - by theBlinker
    I want to do a riddle AI chatbot for my AI class. So i figgured the input to the chatbot would be : Something like : "It is blue, and it is up, but it is not the ceiling" Translation : <Object X> <blue> <up> <!ceiling> </Object X> (Answer : sky?) So Input is a set of characteristics (existing \ not existing in the object), output is a matched, most likely object. The domain will be limited to a number of objects, i could input all attributes myself, but i was thinking : How could I programatically build a database of characteristics for a word? Is there such a database available? How could i tag a word, how could i programatically find all it's attributes? I was thinking on crawling wikipedia, or some forum, but i can't see it build any reliable word tag database. Any ideas on how i could achieve such a thing? Any ideas on some literature on the subject? Thank you

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  • How to engineer features for machine learning

    - by Ivo Danihelka
    Do you have some advices or reading how to engineer features for a machine learning task? Good input features are important even for a neural network. The chosen features will affect the needed number of hidden neurons and the needed number of training examples. The following is an example problem, but I'm interested in feature engineering in general. A motivation example: What would be a good input when looking at a puzzle (e.g., 15-puzzle or Sokoban)? Would it be possible to recognize which of two states is closer to the goal?

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  • Continuous output in Neural Networks

    - by devoured elysium
    How can I set Neural Networks so they accept and output a continuous range of values instead of a discrete ones? From what I recall from doing a Neural Network class a couple of years ago, the activation function would be a sigmoid, which yields a value between 0 and 1. If I want my neural network to yield a real valued scalar, what should I do? I thought maybe if I wanted a value between 0 and 10 I could just multiply the value by 10? What if I have negative values? Is this what people usually do or is there any other way? What about the input? Thanks

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  • Are evolutionary algorithms and neural networks used in the same problem domains?

    - by Joe Holloway
    I am trying to get a feel for the difference between the various classes of machine-learning algorithms. I understand that the implementations of evolutionary algorithms are quite different from the implementations of neural networks. However, they both seem to be geared at determining a correlation between inputs and outputs from a potentially noisy set of training/historical data. From a qualitative perspective, are there problem domains that are better targets for neural networks as opposed to evolutionary algorithms? I've skimmed some articles that suggest using them in a complementary fashion. Is there a decent example of a use case for that? Thanks

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  • Operant conditioning algorithm?

    - by Ken
    What's the best way to implement real time operant conditioning (supervised reward/punishment-based learning) for an agent? Should I use a neural network (and what type)? Or something else? I want the agent to be able to be trained to follow commands like a dog. The commands would be in the form of gestures on a touchscreen. I want the agent to be able to be trained to follow a path (in continuous 2D space), make behavioral changes on command (modeled by FSM state transitions), and perform sequences of actions. The agent would be in a simulated physical environment.

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  • Using a Cyc Image in Windows

    - by nrhine1
    Hi, I am trying to use a Microtheory for a research project I am working on, and am having trouble getting my saved Image of constants I create to work correctly. I save the image after creating the constants using (write-image "world\MyImage") and then going to the \server\run\ directory and using run-cyc-32bit.bat -w "world\MyImage" It loads the server correctly, but not with my constants. I found the above command at the reference page here. Thank you for any help

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  • What is the 'order' of a perceptron

    - by Martin
    A few simple marks for those who know the answer. I'm doing revision for exams at the moment and one of the past questions is: What is meant by the order of a perceptron? I can't find any information about this in my lecture notes, and even google seems at a loss. My guess is that the order is the number of layers in a neural network, but this doesn't seem quite right.

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  • criteria of software program being intelligent

    - by bobah
    Just out of curiosity, assuming there exists an software life form. How would you detect him/her? What are your criteria of figuring out if something/someone is intelligent or not? It seems to me that it should be quite simple to create such software once you set the right target (not just following a naive "mimic human-pass Turing Test" way). When posting an answer try also finding a counter example. I have real difficuly inventing anything consistent which I myself agree with. Warmup

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