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Questions tagged [graphical-model]

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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....
F Lourenço's user avatar
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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 ...
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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 ...
tribbloid's user avatar
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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 ...
user5779223's user avatar
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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-...
richard's user avatar
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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 ...
ashman's user avatar
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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 ...
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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 ...
ilni's user avatar
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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. ...
Srividya krishnan's user avatar
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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 ...
xboard's user avatar
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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. ...
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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, ...
Deepak Tatyaji Ahire's user avatar
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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 ...
Deepak Tatyaji Ahire's user avatar
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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 ...
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