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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.

2 votes
1 answer
1k views

Example for a class that is not PAC learnable

I'm looking for a reference (with proof) on hypothesis classes that are not PAC learnable. Is there a simple one too? Are they of any use (if not in practice, maybe as counter examples for some claims …
0 votes
1 answer
151 views

explanation of RBM definition

I'm learning about RBM and I try to understand the notation used for it. We have the input vector $v=(v_i)$ and the output vector $h=(h_j)$, a weight matrix $W=(W_{ij})$ and finally two bias vectors - …
1 vote
0 answers
62 views

Formulating a cartoon-caption matching problem

In my dataset I have cartoons, which are actually just sets of word tags. Those tasg come in two sub sets, one stands for the context of the cartoon and the other stands for the anomaly in it. An ex …