Questions tagged [graphical-model]
The graphical-model tag has no usage guidance.
7
questions
2
votes
0answers
19 views
In Probabilistic Graphical Model (written by Daphne Koller), what's the meaning of “parameter” in representation of the distribution?
I just started to read the PGM book written by Daphne Koller.
In the chapter of Bayesian Network Representation(Chapter 3), there are some descriptions about the standard parameterization of the joint ...
1
vote
1answer
34 views
In RL as probabilistic inference, why do we take a probability to be $\exp(r(s_t, a_t))$?
In section 2 the paper Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review the author is discussing formulating the RL problem as a probabilistic graphical model. They ...
1
vote
0answers
31 views
How do I derive the gradient of the log-likelihood of an RBM?
In a Restricted Boltzmann Machine (RBM), the likelihood function is:
$$p(\mathbf{v};\mathbf{\theta}) = \frac{1}{Z} \sum_{\mathbf{h}} e^{-E(\mathbf{v},\mathbf{h};\mathbf{\theta})}$$
Where $E$ is the ...
2
votes
0answers
38 views
Purpose of the hidden variables in a Restricted Boltzmann Machine
From the part titled Introducing Latent Variables under subsection 2.2 in this tutorial:
Introducing Latent Variables. Suppose we want to model an $m$-dimensional
unknown probability distribution $q$ ...
1
vote
0answers
55 views
How to make sense of label propagation formula in graph neural networks?
In the label propagation algorithm in section 3.2.3, we know the label of some nodes and we want to predict the label for the rest of the nodes whose labels we don't know. The update formula for this ...
2
votes
0answers
25 views
Deriving hyperparameter updates in Online Interactive Collaborative Filtering
I've been going through "Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms" by Wang et al. and am unable to understand how the update equations for the ...
2
votes
0answers
149 views
What is a conditional random field?
I new in machine learning, especially in Conditional Random Fields (CRF).
I have read several articles and papers and in there is always associated with HMM and sequences classification. I don't ...
