I'm looking for computationally heavy tasks to implement with CUDA and wonder if neural networks or bayesian networks might apply. This is not my question, though, but rather what the relation between the two network types is. They seem very related, especially if you look at bayesian networks with a learning capability (which the articl...
Hi, I found a few articles online providing examples of how to model graphs of various kinds (DAGs, in particular) in SQL, but they all seemed enormously complex, given the relative simplicity of what they're modeling. Is there a best / standard way of doing this? My current thinking is something like this: create table node ( id in...
Hello all, for a beginner, which is the best book to start with for studying Bayesian Networks? Thanks, Lucian ...
I am looking for a Python library which does Bayesian Spam Filtering. I looked at SpamBayes and OpenBayes, but both seem to be unmaintained (I might be wrong). Can anyone suggest a good Python (or Clojure, Common Lisp, even Ruby) library which implements Bayesian Spam Filtering? Thanks in advance. Clarification: I am actually looking ...
Hello, I want to use Bayesian Network mechanism for spam filtering. How do you think it should look a proper topology of the network? What about naive Bayes model? (The naive Bayes model is sometimes called a Bayesian classifier) ...
Hello! Can you give me a good link/resource where i could find a good implementation of Bayesian network ,I'm specially interested in Conditional Probability Table generation and how to pass messages/update nodes . Thanks! ...
I have a little problem in my little project , I wish that someone here could help me! I am planning to use a bayesian network as a decision factor in my game AI and I want to improve the decision making every step of the way , anyone knows how to do that ? Any tutorials / existing implementations will be very good,I hope some of you co...
I have heard of this algorithm, but is this algorithm good to use it with Bayesian Belief networks? Hugin is based on it and I'm looking for a book / article on this algorithm. ...
In the Kevin Murphy's example of Bayesian Network the Infer.NET library is used. Is the Infer.NET required? ...
What is the difference between causal models and directed graphical models? or: What is the difference between causal relationships and directed probabilistic relationships? or, even better: What would you put in the interface of a DirectedProbabilisticModel class, and what in a CausalModel class? Would one inherit from the other? ...
I have a basic question about Bayesian networks. Let's assume we have an engine, that with 1/3 probability can stop working. I'll call this variable ENGINE. If it stops working, then your car doesn't work. If the engine is working, then your car will work 99% of the time. I'll call this one CAR. Now, if your car is old(OLD), instead of...
Hi, I'm trying to understand bayesian network. I have a data file which has 10 attributes, I want to acquire the confusion table of this data table ,I thought I need to calculate tp,fp, fn, tn of all fields. Is it true ? if it's then what i need to do for bayesian network. Really need some guidance, I'm lost. ...
If I understand it right, both use Bayes Theorem to generate an acyclic graph and calculate percentages based on functions applied at every node. What is the difference? ...
I'm thinking about writing a little library to make a guess at the name of an (RGB value) colour, from a predetermined list of candidates. My first attempt was based purely on pythagorean distance within the three-dimensional RGB colour space - this wasn't massively succesful as most of the named colour points were at the edges of the s...
Hello, I am a student working on an internship project where in we are using Bayesian networks to predict a possible outcome from a given set of discrete parent variables.We now intend to use artificial neural network to do the task.So could any one please help me out with the similarities and differences between Bayesian networks ...
Hi I have seen www.dezide.com as a top of the line trouble shooting software based on bayesian networking. But I need an open source solution to develop further as this is not for a commercial project. What would you recommend? BR Morten ...
i m looking for a bayesian network library that work on the iphone. any tip ? ...
I am playing around with implementing a junction tree algorithm for belief propagation on a Bayesian Network. I'm struggling a bit with triangulating the graph so the junction trees can be formed. I understand that finding the optimal triangulation is NP-complete, but can you point me to a general purpose algorithm that results in a 'g...
Is the are java alternative to Bayesian Belief Network framework - Infer.NET? Preferable if it be scalable(online learning for large datasets), well-supported(last updated since 2010) and open source and easy to write network structure. So all features from Infer.NET. ...