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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
2 votes
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20 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 ...
samlaf's user avatar
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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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2 votes
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558 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 ...
user5779223's user avatar
1 vote
0 answers
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directed acyclic graph: d-separation for conditional independence

If only X_1 was given, X_2 and X_3 would be conditionally independent since the "head" of the fork would be blocked. But for X_3, X_2 and X_4 we have a collider structure and the child of ...
thingy's user avatar
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1 vote
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Graph Clustering algorithms when both nodes *and* edges have features (numerical, categorical and potentially even temporal!)

I'm trying to figure out how much complexity I can get away with and am looking for model recommendations. I have transactional data on hand - the features being customer id, customer balance, ...
MergeMonster's user avatar
1 vote
1 answer
240 views

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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1 vote
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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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59 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 ...
Arkan's user avatar
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1 vote
0 answers
58 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 ...
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
1 vote
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68 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 ...
xboard's user avatar
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1 vote
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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. ...
Ghostintheshell's user avatar
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Visualize/Analyze the difference between graph networks

I'm newbie in Data Analyst. I am studying Computational Neuroscience. I have the two figures. A short description about the experiment is: an animal do a task with two conditions. I have a calcium ...
Charles 's user avatar
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How to Use Graph Learning Libraries to Predict Edges on a Graph where Each Node Has an Embedding?

An undirectional graph $\mathcal{G}$ has the set of nodes $\mathcal{N}$ where each node has an associated unique embedding of $512$ dimensions. Note that the embeddings themselves are fixed, and not ...
Della's user avatar
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