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  • Balancing heuristics (for timetable problem)

    - by genesiss
    I'm writing a genetic algorithm for generating timetables. At the moment I'm using these two heuristics: Number of holes between lectures in one day (related) (less holes - bigger score) Each hour has some value, so for each timetable I sum values for hours when lectures are on. (lectures at more appropriate hours - bigger score) I want to balance these two heuristics, so the algorithm wouldn't favor neither one. What would be the best way to achieve this?

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  • RTS game diplomacy heuristics

    - by kd304
    I'm reimplementing an old 4X space-rts game which has diplomacy options. The original was based on a relation scoring system (0..100) and a set of negotiation options (improve relations, alliance, declare war, etc.) The AI player usually had 3 options: yes, maybe and no; each adding or removing some amount to the relation score. How should the AI chose between the options? How does the diplomacy work in other games and how are they imlemented? Any good books/articles on the subject? (Googling the term diplomacy yields the game Diplomacy, which is unhelpful.)

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  • Finding an A* heuristic for a directed graph

    - by Janis Peisenieks
    In a previous question, I asked about finding a route (or path if you will) in a city. That is all dandy. The solution I chose was with the A* algorithm, which really seems to suit my needs. What I find puzzling is heuristic. How do I find one in an environment without constant distance between 2 nodes? Meaning, not every 2 nodes have the same distance between them. What I have is nodes (junctures), streets with weight (which may also be one-way), a start/finish node (since the start and end is always in the same place) and a goal node. In an ordinary case, I would just use the same way I got to goal to go back, but since one of the streets could have been a one-way, that may not be possible. The main question How do I find a heuristic in a directed graph?

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  • Simple method for reliably detecting code in text?

    - by Jeff Atwood
    GMail has this feature where it will warn you if you try to send an email that it thinks might have an attachment. Because GMail detected the string see the attached in the email, but no actual attachment, it warns me with an OK / Cancel dialog when I click the Send button. We have a related problem on Stack Overflow. That is, when a user enters a post like this one: my problem is I need to change the database but I don't won't to create a new connection. example: DataSet dsMasterInfo = new DataSet(); Database db = DatabaseFactory.CreateDatabase("ConnectionString"); DbCommand dbCommand = db.GetStoredProcCommand("uspGetMasterName"); This user did not format their code as code! That is, they didn't indent by 4 spaces per Markdown, or use the code button (or the keyboard shortcut ctrl+k) which does that for them. Thus, our system is accreting a lot of edits where people have to go in and manually format code for people that are somehow unable to figure this out. This leads to a lot of bellyaching. We've improved the editor help several times, but short of driving over to the user's house and pressing the correct buttons on their keyboard for them, we're at a loss to see what to do next. That's why we are considering a Google GMail style warning: Did you mean to post code? You wrote stuff that we think looks like code, but you didn't format it as code by indenting 4 spaces, using the toolbar code button or the ctrl+k code formatting command. However, presenting this warning requires us to detect the presence of what we think is unformatted code in a question. What is a simple, semi-reliable way of doing this? Per Markdown, code is always indented by 4 spaces or within backticks, so anything correctly formatted can be discarded from the check immediately. This is only a warning and it will only apply to low-reputation users asking their first questions (or providing their first answers), so some false positives are OK, so long as they are about 5% or less. Questions on Stack Overflow can be in any language, though we can realistically limit our check to, say, the "big ten" languages. Per the tags page that would be C#, Java, PHP, JavaScript, Objective-C, C, C++, Python, Ruby. Use the Stack Overflow creative commons data dump to audit your potential solution (or just pick a few questions in the top 10 tags on Stack Overflow) and see how it does. Pseudocode is fine, but we use c# if you want to be extra friendly. The simpler the better (so long as it works). KISS! If your solution requires us to attempt to compile posts in 10 different compilers, or an army of people to manually train a bayesian inference engine, that's ... not exactly what we had in mind.

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  • Best way to implement an AI for Dominion? [on hold]

    - by j will
    I'm creating a desktop client and server backend for the game, Dominion, by Donald X. Vaccarino. I've been reading up on AI techniques and algorithms and I just wanted to what is the best way to implement an AI for such a game? Would it better to look at neural networks, genetic algorithms, decision trees, fuzzy logic, or any other methodology? For those who do not know how Dominion works, check out this part of the wikipedia article: http://en.wikipedia.org/wiki/Dominion_(card_game)#Gameplay

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  • Traveling Salesman - Nearest Neighbor vs Genetic DEATHMATCH

    - by EvilTeach
    Over the last few days I have noted a few web sites that demonstrated TS solution using genetic algorithms. I am looking for your opinion which is better for this particular problem. Heuristics vs Genetic. By better, I mean will yield a shorter/lower cost path. Explain why you feel the way that you do. Examples, and off-site links are welcome.

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  • Finding minimum cut-sets between bounded subgraphs

    - by Tore
    If a game map is partitioned into subgraphs, how to minimize edges between subgraphs? I have a problem, Im trying to make A* searches through a grid based game like pacman or sokoban, but i need to find "enclosures". What do i mean by enclosures? subgraphs with as few cut edges as possible given a maximum size and minimum size for number of vertices for each subgraph that act as a soft constraints. Alternatively you could say i am looking to find bridges between subgraphs, but its generally the same problem. Given a game that looks like this, what i want to do is find enclosures so that i can properly find entrances to them and thus get a good heuristic for reaching vertices inside these enclosures. So what i want is to find these colored regions on any given map. My Motivation The reason for me bothering to do this and not just staying content with the performance of a simple manhattan distance heuristic is that an enclosure heuristic can give more optimal results and i would not have to actually do the A* to get some proper distance calculations and also for later adding competitive blocking of opponents within these enclosures when playing sokoban type games. Also the enclosure heuristic can be used for a minimax approach to finding goal vertices more properly. A possible solution to the problem is the Kernighan-Lin algorithm: function Kernighan-Lin(G(V,E)): determine a balanced initial partition of the nodes into sets A and B do A1 := A; B1 := B compute D values for all a in A1 and b in B1 for (i := 1 to |V|/2) find a[i] from A1 and b[i] from B1, such that g[i] = D[a[i]] + D[b[i]] - 2*c[a][b] is maximal move a[i] to B1 and b[i] to A1 remove a[i] and b[i] from further consideration in this pass update D values for the elements of A1 = A1 / a[i] and B1 = B1 / b[i] end for find k which maximizes g_max, the sum of g[1],...,g[k] if (g_max > 0) then Exchange a[1],a[2],...,a[k] with b[1],b[2],...,b[k] until (g_max <= 0) return G(V,E) My problem with this algorithm is its runtime at O(n^2 * lg(n)), i am thinking of limiting the nodes in A1 and B1 to the border of each subgraph to reduce the amount of work done. I also dont understand the c[a][b] cost in the algorithm, if a and b do not have an edge between them is the cost assumed to be 0 or infinity, or should i create an edge based on some heuristic. Do you know what c[a][b] is supposed to be when there is no edge between a and b? Do you think my problem is suitable to use a multi level problem? Why or why not? Do you have a good idea for how to reduce the work done with the kernighan-lin algorithm for my problem?

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  • Heuristic algorithm for load balancing among threads.

    - by Il-Bhima
    I'm working on a multithreaded program where I have a number of worker threads performing tasks of unequal length. I want to load-balance the tasks to ensure that they do roughly the same amount of work. For task T_i I have a number c_i which provides a good approximation to the amount of work that is required for that task. I'm looking for an efficient (O(N) N = num tasks or better) algorithm which will give me "roughly" a good load balance given the values of c_i. It doesn't have to be optimal, but I would like to be able to have some theoretical bounds on how bad the resulting allocations are. Any ideas?

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  • Guessing the time zone from an arbitrary "location" string?

    - by Thomas
    I'm trying to run some statistics over the Stack Overflow data dump, and for that I would like to know the time zone for each user. However, all I have to go on is the completely free-form "location" string. I'll stress that I'm only looking for an approximation of the time zone; of course, in general this is an unsolvable problem. However, many people fill out their country, state and/or city, which should give a pretty good indication. It's okay if it fails for other cases. It doesn't have to be reliable, it doesn't have to be accurate, it doesn't have to cover all bases. I don't want to waste too much time on this, so I'm wondering if there is some code out there that can make a reasonable guess. Any language, platform, API or library goes. Any ideas?

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  • ai: Determining what tests to run to get most useful data

    - by Sai Emrys
    This is for http://cssfingerprint.com I have a system (see about page on site for details) where: I need to output a ranked list, with confidences, of categories that match a particular feature vector the binary feature vectors are a list of site IDs & whether this session detected a hit feature vectors are, for a given categorization, somewhat noisy (sites will decay out of history, and people will visit sites they don't normally visit) categories are a large, non-closed set (user IDs) my total feature space is approximately 50 million items (URLs) for any given test, I can only query approx. 0.2% of that space I can only make the decision of what to query, based on results so far, ~10-30 times, and must do so in <~100ms (though I can take much longer to do post-processing, relevant aggregation, etc) getting the AI's probability ranking of categories based on results so far is mildly expensive; ideally the decision will depend mostly on a few cheap sql queries I have training data that can say authoritatively that any two feature vectors are the same category but not that they are different (people sometimes forget their codes and use new ones, thereby making a new user id) I need an algorithm to determine what features (sites) are most likely to have a high ROI to query (i.e. to better discriminate between plausible-so-far categories [users], and to increase certainty that it's any given one). This needs to take into balance exploitation (test based on prior test data) and exploration (test stuff that's not been tested enough to find out how it performs). There's another question that deals with a priori ranking; this one is specifically about a posteriori ranking based on results gathered so far. Right now, I have little enough data that I can just always test everything that anyone else has ever gotten a hit for, but eventually that won't be the case, at which point this problem will need to be solved. I imagine that this is a fairly standard problem in AI - having a cheap heuristic for what expensive queries to make - but it wasn't covered in my AI class, so I don't actually know whether there's a standard answer. So, relevant reading that's not too math-heavy would be helpful, as well as suggestions for particular algorithms. What's a good way to approach this problem?

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  • Software to Tune/Calibrate Properties for Heuristic Algorithms

    - by Karussell
    Today I read that there is a software called WinCalibra (scroll a bit down) which can take a text file with properties as input. This program can then optimize the input properties based on the output values of your algorithm. See this paper or the user documentation for more information (see link above; sadly doc is a zipped exe). Do you know other software which can do the same which runs under Linux? (preferable Open Source) EDIT: Since I need this for a java application I will now invest my research in java libraries like jgap. Other ideas and links would be appreciated!

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  • Software to Tune/Calibrate Properties for Heuristic Algorithms

    - by Karussell
    Today I read that there is a software called WinCalibra (scroll a bit down) which can take a text file with properties as input. This program can then optimize the input properties based on the output values of your algorithm. See this paper or the user documentation for more information (see link above; sadly doc is a zipped exe). Do you know other software which can do the same which runs under Linux? (preferable Open Source)

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  • How to find minimum cut-sets for several subgraphs of a graph of degrees 2 to 4

    - by Tore
    I have a problem, Im trying to make A* searches through a grid based game like pacman or sokoban, but i need to find "enclosures". What do i mean by enclosures? subgraphs with as few cut edges as possible given a maximum size and minimum size for number of vertices that act as soft constraints. Alternatively you could say i am looking to find bridges between subgraphs, but its generally the same problem. Given a game that looks like this, what i want to do is find enclosures so that i can properly find entrances to them and thus get a good heuristic for reaching vertices inside these enclosures. So what i want is to find these colored regions on any given map. The reason for me bothering to do this and not just staying content with the performance of a simple manhattan distance heuristic is that an enclosure heuristic can give more optimal results and i would not have to actually do the A* to get some proper distance calculations and also for later adding competitive blocking of opponents within these enclosures when playing sokoban type games. Also the enclosure heuristic can be used for a minimax approach to finding goal vertices more properly. Do you know of a good algorithm for solving this problem or have any suggestions in things i should explore?

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  • Deterministic Annealing Code

    - by wade
    I would like to find an open source example of a code for deterministic annealing. It can be in almost any language: C, C++, MatLab/Octave, Fortran. I have already found a MatLab code for simulated annealing, so MatLab would be best. Here is a paper that describes the algorithm: http://www.google.com/url?sa=t&source=web&ct=res&cd=1&ved=0CB8QFjAA&url=http%3A%2F%2Fvandamteaching.googlepages.com%2FABriefIntroductionToDeterministicAnn.pdf&ei=DiLiS8qZFI7AMozB1JED&usg=AFQjCNHLps7HRWXLNN5rAX5aJ5BsJbcHuQ&sig2=YSokUTOs0UszAFZ9TDiJgQ

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  • Is there anything for Python that is like readability.js?

    - by Emre Sevinç
    Hi, I'm looking for a package / module / function etc. that is approximately the Python equivalent of Arc90's readability.js http://lab.arc90.com/experiments/readability http://lab.arc90.com/experiments/readability/js/readability.js so that I can give it some input.html and the result is cleaned up version of that html page's "main text". I want this so that I can use it on the server-side (unlike the JS version that runs only on browser side). Any ideas? PS: I have tried Rhino + env.js and that combination works but the performance is unacceptable it takes minutes to clean up most of the html content :( (still couldn't find why there is such a big performance difference).

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  • Is my heuristic algorithm correct? (Sudoku solver)

    - by Aposperite
    First of -yes this IS a homework- but it's primarily a theoretical question rather than a practical one, I am simply asking a confirmation if I am thinking correctly or any hints if I am not. I have been asked to compile a simple Sudoku solver (on Prolog but that is not so important right now) with the only limitation being that it must utilize a heuristic function using Best-First Algorithm. The only heuristic function I have been able to come up with is explained below: 1. Select an empty cell. 1a. If there are no empty cells and there is a solution return solution. Else return No. 2. Find all possible values it can hold. %% It can't take values currently assigned to cells on the same line/column/box. 3. Set to all those values a heuristic number starting from 1. 4. Pick the value whose heuristic number is the lowest && you haven't checked yet. 4a. If there are no more values return no. 5. If a solution is not found: GoTo 1. Else Return Solution. // I am sorry for errors in this "pseudo code." If you want any clarification let me know. So am I doing this right or is there any other way around and mine is false? Thanks in advance.

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  • Number of simple mutations to change one string to another?

    - by mstksg
    Hi; I'm sure you've all heard of the "Word game", where you try to change one word to another by changing one letter at a time, and only going through valid English words. I'm trying to implement an A* Algorithm to solve it (just to flesh out my understanding of A*) and one of the things that is needed is a minimum-distance heuristic. That is, the minimum number of one of these three mutations that can turn an arbitrary string a into another string b: 1) Change one letter for another 2) Add one letter at a spot before or after any letter 3) Remove any letter Examples aabca => abaca: aabca abca abaca = 2 abcdebf => bgabf: abcdebf bcdebf bcdbf bgdbf bgabf = 4 I've tried many algorithms out; I can't seem to find one that gives the actual answer every time. In fact, sometimes I'm not sure if even my human reasoning is finding the best answer. Does anyone know any algorithm for such purpose? Or maybe can help me find one? Thanks.

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  • Thread management advice - Is TPL a good idea?

    - by Ian
    I'm hoping to get some advice on the use of thread managment and hopefully the task parallel library, because I'm not sure I've been going down the correct route. Probably best is that I give an outline of what I'm trying to do. Given a Problem I need to generate a Solution using a heuristic based algorithm. I start of by calculating a base solution, this operation I don't think can be parallelised so we don't need to worry about. Once the inital solution has been generated, I want to trigger n threads, which attempt to find a better solution. These threads need to do a couple of things: They need to be initalized with a different 'optimization metric'. In other words they are attempting to optimize different things, with a precedence level set within code. This means they all run slightly different calculation engines. I'm not sure if I can do this with the TPL.. If one of the threads finds a better solution that the currently best known solution (which needs to be shared across all threads) then it needs to update the best solution, and force a number of other threads to restart (again this depends on precedence levels of the optimization metrics). I may also wish to combine certain calculations across threads (e.g. keep a union of probabilities for a certain approach to the problem). This is probably more optional though. The whole system needs to be thread safe obviously and I want it to be running as fast as possible. I tried quite an implementation that involved managing my own threads and shutting them down etc, but it started getting quite complicated, and I'm now wondering if the TPL might be better. I'm wondering if anyone can offer any general guidance? Thanks...

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  • Manhattan Heuristic function for A-star (A*)

    - by Shawn Mclean
    I found this algorithm here. I have a problem, I cant seem to understand how to set up and pass my heuristic function. static public Path<TNode> AStar<TNode>(TNode start, TNode destination, Func<TNode, TNode, double> distance, Func<TNode, double> estimate) where TNode : IHasNeighbours<TNode> { var closed = new HashSet<TNode>(); var queue = new PriorityQueue<double, Path<TNode>>(); queue.Enqueue(0, new Path<TNode>(start)); while (!queue.IsEmpty) { var path = queue.Dequeue(); if (closed.Contains(path.LastStep)) continue; if (path.LastStep.Equals(destination)) return path; closed.Add(path.LastStep); foreach (TNode n in path.LastStep.Neighbours) { double d = distance(path.LastStep, n); var newPath = path.AddStep(n, d); queue.Enqueue(newPath.TotalCost + estimate(n), newPath); } } return null; } As you can see, it accepts 2 functions, a distance and a estimate function. Using the Manhattan Heuristic Distance function, I need to take 2 parameters. Do I need to modify his source and change it to accepting 2 parameters of TNode so I can pass a Manhattan estimate to it? This means the 4th param will look like this: Func<TNode, TNode, double> estimate) where TNode : IHasNeighbours<TNode> and change the estimate function to: queue.Enqueue(newPath.TotalCost + estimate(n, path.LastStep), newPath); My Manhattan function is: private float manhattanHeuristic(Vector3 newNode, Vector3 end) { return (Math.Abs(newNode.X - end.X) + Math.Abs(newNode.Y - end.Y)); }

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  • Given a document select a relevant snippet.

    - by BCS
    When I ask a question here, the tool tips for the question returned by the auto search given the first little bit of the question, but a decent percentage of them don't give any text that is any more useful for understanding the question than the title. Does anyone have an idea about how to make a filter to trim out useless bits of a question? My first idea is to trim any leading sentences that contain only words in some list (for instance, stop words, plus words from the title, plus words from the SO corpus that have very weak correlation with tags, that is that are equally likely to occur in any question regardless of it's tags)

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  • Heuristic for sliding tile problem.

    - by MustDash
    The idea is to move all of the right elements into the left and the left into the right with an empty space in the middle. The elements can either jump over one or two pieces into an empty space. LLL[ ]RRR I'm trying to think of a heuristic for this task. Is the heuristic meant to aid in finding a possible solution, or actually return a number of moves as the solution? How would I express such a heuristic?

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  • How I might think like a hacker so that I can anticipate security vulnerabilities in .NET or Java before a hacker hands me my hat [closed]

    - by Matthew Patrick Cashatt
    Premise I make a living developing web-based applications for all form-factors (mobile, tablet, laptop, etc). I make heavy use of SOA, and send and receive most data as JSON objects. Although most of my work is completed on the .NET or Java stacks, I am also recently delving into Node.js. This new stack has got me thinking that I know reasonably well how to secure applications using known facilities of .NET and Java, but I am woefully ignorant when it comes to best practices or, more importantly, the driving motivation behind the best practices. You see, as I gain more prominent clientele, I need to be able to assure them that their applications are secure and, in order to do that, I feel that I should learn to think like a malevolent hacker. What motivates a malevolent hacker: What is their prime mover? What is it that they are most after? Ultimately, the answer is money or notoriety I am sure, but I think it would be good to understand the nuanced motivators that lead to those ends: credit card numbers, damning information, corporate espionage, shutting down a highly visible site, etc. As an extension of question #1--but more specific--what are the things most likely to be seeked out by a hacker in almost any application? Passwords? Financial info? Profile data that will gain them access to other applications a user has joined? Let me be clear here. This is not judgement for or against the aforementioned motivations because that is not the goal of this post. I simply want to know what motivates a hacker regardless of our individual judgement. What are some heuristics followed to accomplish hacker goals? Ultimately specific processes would be great to know; however, in order to think like a hacker, I would really value your comments on the broader heuristics followed. For example: "A hacker always looks first for the low-hanging fruit such as http spoofing" or "In the absence of a CAPTCHA or other deterrent, a hacker will likely run a cracking script against a login prompt and then go from there." Possibly, "A hacker will try and attack a site via Foo (browser) first as it is known for Bar vulnerability. What are the most common hacks employed when following the common heuristics? Specifics here. Http spoofing, password cracking, SQL injection, etc. Disclaimer I am not a hacker, nor am I judging hackers (Heck--I even respect their ingenuity). I simply want to learn how I might think like a hacker so that I may begin to anticipate vulnerabilities before .NET or Java hands me a way to defend against them after the fact.

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  • Ignoring Robots - Or Better Yet, Counting Them Separately

    - by [email protected]
    It is quite common to have web sessions that are undesirable from the point of view of analytics. For example, when there are either internal or external robots that check the site's health, index it or just extract information from it. These robotic session do not behave like humans and if their volume is high enough they can sway the statistics and models.One easy way to deal with these sessions is to define a partitioning variable for all the models that is a flag indicating whether the session is "Normal" or "Robot". Then all the reports and the predictions can use the "Normal" partition, while the counts and statistics for Robots are still available.In order for this to work, though, it is necessary to have two conditions:1. It is possible to identify the Robotic sessions.2. No learning happens before the identification of the session as a robot.The first point is obvious, but the second may require some explanation. While the default in RTD is to learn at the end of the session, it is possible to learn in any entry point. This is a setting for each model. There are various reasons to learn in a specific entry point, for example if there is a desire to capture exactly and precisely the data in the session at the time the event happened as opposed to including changes to the end of the session.In any case, if RTD has already learned on the session before the identification of a robot was done there is no way to retract this learning.Identifying the robotic sessions can be done through the use of rules and heuristics. For example we may use some of the following:Maintain a list of known robotic IPs or domainsDetect very long sessions, lasting more than a few hours or visiting more than 500 pagesDetect "robotic" behaviors like a methodic click on all the link of every pageDetect a session with 10 pages clicked at exactly 20 second intervalsDetect extensive non-linear navigationNow, an interesting experiment would be to use the flag above as an output of a model to see if there are more subtle characteristics of robots such that a model can be used to detect robots, even if they fall through the cracks of rules and heuristics.In any case, the basic and simple technique of partitioning the models by the type of session is simple to implement and provides a lot of advantages.

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  • How to sift idioms and set phrases apart from other common phrases using NLP techniques?

    - by hippietrail
    What techniques exist that can tell the difference betwen plain common phrases such as "to the", "and the" and set phrases and idioms which have their own lexical meanings such as "pick up", "fall in love", "red herring", "dead end"? Are there techniques which are successful even without a dictionary, statistical methods HMMs train on large corpora for instance? Or are there heuristics such as ignoring or weighting down "promiscuous" words which can co-occur with just about any word versus words which occur either alone or in a specific limited set of idiomatic phrases? If there are such heuristics, how do we take into account set phrases and verbal phrases which do incorporate promiscuous words such as "up" in "beat up", "eat up", "sit up", "think up"? UPDATE I've found an interesting paper online: Unsupervised Type and Token Identi?cation of Idiomatic Expressions

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  • Member Status: Inquorate in RHEL 5.6

    - by Eugene S
    I've encountered a strange issue. I had to change the time on my Linux RHEL cluster system. I've done it using the following command from the root user: date +%T -s "10:13:13" After doing this, some message appeared relating to <emerg> #1: Quorum Dissolved (however I didn't capture the message completely). In order to investigate the issue I looked at /var/log/messages and I've discovered these errors. Below is the output of few commands I got when tried to investigate the issue, however I don't have enough knowledge to make use of this information. [root@system1a ~]# clustat Cluster Status for system4081 @ Sun Mar 25 11:45:48 2012 Member Status: Inquorate Member Name ID Status ------ ---- ---- ------ chb_sys1a 1 Online, Local chb_sys2a 2 Offline [root@system1a ~]# cman_tool nodes Node Sts Inc Joined Name 1 M 872 2012-03-25 08:43:07 chb_sys1a 2 X 0 chb_sys2a [root@system1a ~]# qdiskd -f -d [17654] debug: Loading configuration information [17654] debug: 0 heuristics loaded [17654] debug: Quorum Daemon: 0 heuristics, 1 interval, 10 tko, 0 votes [17654] debug: Run Flags: 00000035 [17654] info: Quorum Daemon Initializing stat: Bad address [17654] crit: Initialization failed I tried to search through the internet and found out a quite similar issue here. However, for some reason I am not able to access the bug on bugzilla. The link to the bug is here

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