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arXiv · 1812.00975

Structure Learning Using Forced Pruning

Ahmed Abdelatty·Pracheta Sahoo·Chiradeep Roy
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Abstract

Markov networks are widely used in many Machine Learning applications including natural language processing, computer vision, and bioinformatics . Learning Markov networks have many complications ranging from intractable computations involved to the possibility of learning a model with a huge number of parameters. In this report, we provide a computationally tractable greedy heuristic for learning Markov networks structure. The proposed heuristic results in a model with a limited predefined number of parameters. We ran our method on 3 fully-observed real datasets, and we observed that our method is doing comparably good to the state of the art methods.

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Ahmed Abdelatty, Pracheta Sahoo, Chiradeep Roy. 2018-12-03. Structure Learning Using Forced Pruning. https://arxiv.org/abs/1812.00975

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