When not using KL divergence term, the VAE reconstructs mnist images almost perfectly but fails to generate new ones properly when provided with random noise. When using KL divergence term, the VA...

I'm attempting to use the bnlearn package to calculate conditional probabilities, and I'm running into a problem when the "cpquery" function is used within a loop. I've created an example, shown be...

I constructed a Bayesian network using from_samples() in pomegranate. I'm able to get maximally likely predictions from the model using model.predict(). I wanted to know if there is a way to sample...

For a project, I need to create synthetic categorical data containing specific dependencies between the attributes. This can be done by sampling from a pre-defined Bayesian Network. After some expl...

I'm searching for the most appropriate tool for python3.x on Windows to create a Bayesian Network, learn its parameters from data and perform the inference. The network structure I want to de...

What is the difference between a Bayesian network and a Naive Bayes classifier? I noticed one is just implemented in Matlab as classify the other has an entire net toolbox. If you could explain i...

I am trying to build a Bayesian network model. However I am unable to install a suitable package. Tried gRain, bnlearn and Rgraphviz for plotting. I have tried in R 2.15 and 3.2 Following are the ...

What is the difference between causal models and directed graphical models? What is the difference between causal relationships and directed probabilistic relationships? More concretely, what would...

I am trying to draw a Bsyesian Network in R with bnlearn. Here is the my R code library(bnlearn) library(Rgraphviz) first_variable <- rnorm(100) second_variable <- rnorm(100) third_variabl...

I am trying to customize a plot of a graph learned with bnlearn using RGraphviz. When I have undirected edges, RGraphviz turns them into directed edges to both directions when I try to customize th...

I am quite confused about why Markov blanket contains children's parents. Wikipedia says its children's parents also have to be included, because they can be used to explain away the node in que...

I need to classify the data using BayesNet in Python. I have used scikit learn for other classifiers like Random Forests, SVM etc. I know it has Naive Bayes but I am looking for Bayesian Network al...

How can one use pymc to parameterize a probabilistic graphical model? Suppose I have a PGM with two nodes X and Y. Lets say X->Y is the graph. And X takes two values {0,1}, and Y also takes tw...

I'm trying to use a forest (or tree) augmented Bayes classifier (Original introduction, Learning) in python (preferably python 3, but python 2 would also be acceptable), first learning it (both str...

I'm looking for a library to create Bayes nets and perform learning and inference on them in Scala (or Java, in case of lack of a better solution). The library should be actively maintained, ...

I am trying to implement Bayesian Networks. My main graph is a factor graph that I want to use for belief propagation. But, in belief propagation when calculating messages, not all the arguments ...

I have a Bayes net (DAG) model which I created using pymc 2.3. All the variables in it are Bernoulli random variables. When I call the MAP.fit() method on it before sampling I get the following war...

I've been trying to implement the algorithm described here, and then test it on the "large action task" described in the same paper. Overview of the algorithm: In brief, the algorithm uses an R...

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...

I am attempting to implement a Naive Bayes classifier using BNT and MATLAB. So far I have been sticking with simple tabular_CPD variables and "guesstimating" probabilities for the variables. My pro...

I have a large dataset of philosophic arguments, each of which connect to other arguments as proof or disproof of a given statement. A root statement can have many proofs and disproofs, each of whi...

I am doing some research about different data mining techniques and came across something that I could not figure out. If any one have any idea that would be great. In which cases is it bett...

Does anyone know the "proper" procedure to learn a Bayesian Network from data using the WEKA API? I can't find good instructions in the WEKA documentation. Based on the documentation and what each...

Hello fellow Number crunchers As the headline suggests, I am looking for a library for learning and inference of Bayesian Networks. I have already found some, but I am hoping for a recommend...

This is why I'm asking this question: Last year I made some C++ code to compute posterior probabilities for a particular type of model (described by a Bayesian network). The model worked pretty wel...