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Results tagged with machine-learning
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user 3293
Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
0
votes
Statistical Commute Analysis in Java
You could use Weka's decision tree algorithm to predict the driving time for all potential starting times, and then choose the time that results in shortest traveling time (or whatever).
See a (hopef …
- 1,644
8
votes
Use of KL Divergence in practice
The Kullback-Leibler divergence is widely used in variational inference, where an optimization problem is constructed that aims at minimizing the KL-divergence between the intractable target distribut …
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1
vote
What are the general strategies in creating a Probabilistic Graphical Model?
Your best bet would be reading research papers that use those models for some task. I assume that this task will most often be classification.
I know of one book about applications of BNs:
Bayesian …
- 1,644
3
votes
Accepted
The meaning of convergence in Variational Inference?
At least for (loopy) Belief Propagation (BP), the formula used to compute the partition function only holds at the convergence point. Note that in the following I'm talking about BP and the Bethe appr …
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