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Questions tagged [graphical-model]

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Understanding the plate notation for gaussian mixture models and latent dirichlet allocation

I am having troubles understanding the plate notation being used in LDA and GMM. In specific the class-variable deciding which parameters that generates the observation in GMM's and the topic-...
0 votes
0 answers
7 views

For a node in an undirected graph - does the node affect itself if its markov blanket is known?

Consider the following Markov Random Field. Question 1: Which of the following nodes will have no effect on H given the Markov Blanket of H? Question 2: Will node H itself have any effect on itself, ...
0 votes
0 answers
11 views

Is the node in undirected graph itself included in the set of its own Markov Blanket?

Consider an undirected graph with nodes set {a,b,c,d,e}, and edge set {(a,b), (a,c), (a,d), (a,e)}. From the above info, you will clearly visualise that the node a ...
0 votes
0 answers
9 views

How to model flow circuit

I have a production circuit containing flows with different content and rate. Some of them are observable, some have covariate observations and some of them are totally not observable but can be ...
3 votes
2 answers
891 views

Why does a belief network need to be represented using a directed acyclic graph (DAG)?

I would have thought that it was because DAGs preserve the dependency relationships between the variables, but I am currently unsure.
2 votes
0 answers
105 views

Problems with Graphical Lasso

I'm trying to use the Graphical Lasso algorithm (more specifically the R package glasso) to find an estimated graph representing the connections between a set of nodes by estimating a precision matrix....
1 vote
2 answers
2k views

How to visualize optimization problems' feasible region?

Is there any tool to visualize the feasible region when given a set of Linear equations (equalities and inequalities). If not, can anyone suggest a way to visualize it? If I am going to do it myself ...
2 votes
0 answers
17 views

Node values in Boltzmann machines (0/1 vs -1/1). Are they the same?

Boltzmann machines were introduced by Hinton and Sejnowski as taking values in $\{0,1\}$. The Wikipedia entry also uses this convention. However, Hopfield Networks, which are the deterministic version ...
6 votes
3 answers
657 views

Which tribe does Probabilistic Graphical Models fall under?

Pedro Domingos in "The Master Algorithm" listed five tribes of machine learning algorithms: Symbolists Connectionists Evolutionaries Bayesians Analogizers Which category do probabilistic ...
1 vote
0 answers
24 views

Where do the "semantics" of a Bayesian network come from?

On Bayesian Networks, Ghahramani (2001) says: A node is independent of its non-descendants given its parents. This point is fundamental enough that Ghahramani calls it the “semantics” of a Bayesian ...
1 vote
1 answer
38 views

How to perform link prediction in text based relationship data

I need to establish if there is a link between 2 columns from two different datasets with one matching column, where; ...
1 vote
0 answers
57 views

Dependency Graph

I want to create a dependency graph of some sensors in the network ( based on their reported value). Please note that a change in the values of sensors is related to each other. For example, if the ...
1 vote
0 answers
55 views

How to interpret the graph representing the fit provided by the ARIMA model?

I'm following this tutorial here to build an ARIMA model in R. I've done a Forecast using a fitted model in R. I specified the forecast horizon h periods ahead for predictions to be made and used ...
3 votes
3 answers
2k views

Libraries for Bayesian network inference with continuous data

Is there any good libraries that allow me to: Construct a Bayesian network manually Specify the conditional probabilities with any continuous PDF, not just Guassian Perform inference, either exact or ...
1 vote
0 answers
41 views

How can spatiotemporal population data be used for modeling migration?

I have a dataset that contains the population of butterflies(5 species) for 15 years for different locations. I want to model it against the climate index collected for same time period and location. ...
1 vote
0 answers
620 views

How to interpret a trained Decision Tree [closed]

I built my first decision tree, to predict if students will pass or not - the data set - depending on 30 variables. Now I need to know how to read the decision tree, since many variables were strings ...
1 vote
2 answers
53 views

Graph to display differences (or lack of) in multilevel categorical data

I am trying to find an interesting way to interpret and display a set of data for the research I'm working on. Columns 2-4 show the net change from time 1 to time 2 in antibiotic coverage for ...
4 votes
1 answer
1k views

Viterbi-like algorithm suggesting top-N probable state sequences implementation

Traditional Viterbi algorithm (say, for hidden Markov models) provides the most probable hidden state sequence given a sequence of observations. There probably is an algorithm for decoding top-N ...
1 vote
1 answer
204 views

Training a Graph model like an Artificial Neural Network

I currently have a Graph model whereby I am mapping connections of different types between entities and attributing a weight to these connections based upon my own personal experience. Also, I would ...
1 vote
0 answers
67 views

Intuitive explanation of how Latent SVM works?

Can anyone explain (or refer to a great explanation of) the intuition of how Latent SVM works? I think Latent SVM should have some resemblance to CRF (Conditional Random Fields) and EM (expectation ...
1 vote
1 answer
51 views

System to provide guide to students about getting admissions to universities of their choice or some specific courses [closed]

I basically want to build a system which will provide a student step by step guide or you can say a full route about what courses he/she should take currently or what examinations they need to clear ...
2 votes
1 answer
265 views

Learning with dirichlet prior - probabilistic graphical models exercise

I have the following problem: Suppose we are interested in estimating the distribution over the English letters. We assume an alphabet that consists of 26 letters and the space symbol, and we ignore ...
2 votes
0 answers
47 views

What is the best algorithm for deterministic belief propagation?

Here is a simple example: In a 3D space, if point A is the geocenter of a planet, point B is its north pole, and point C has a fixed latitude/longitude on the planet surface. Then the position of ...
0 votes
1 answer
279 views

How to approach graphed data for a binary classification system?

I'm looking for articles and other reading material on handling and modeling graph-shaped data for classification systems. As I've never working with graphed base machine learning anything from novice ...
1 vote
0 answers
90 views

Can I use manifold learning to transform the feature set as a substitute of graph kernel of SVC

I just wonder since the manifold learning under scikit-learn has component of graph-based transformation (e.g. Shortest-path graph search under Isomap) I can then transform the feature data set (i.e. ...
1 vote
1 answer
1k views

Handling time series data with gaps

I am working on a dataset with physical measurements taken daily (weight, bmi, etc...) and I am working through the process to graphically represent it. I think it is worth noting that every day has a ...
2 votes
0 answers
528 views

Implement gaussian mixture model with stochastic variational inference

I am trying to implement Gaussian Mixture model with stochastic variational inference, following this paper. This is the pgm of Gaussian Mixture. According to the paper, the full algorithm of ...
1 vote
1 answer
92 views

Graphs demonstrating the structure of neural networks are very unclear

This image looks pretty familiar to anyone getting acquainted with neural networks, and on first glance it makes a lot of intuitive sense. But on second, third, fourth, etc glance, some questions ...