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Learning CRFs with Hierarchical Features: An Application to Go

Learning CRFs with Hierarchical Features: An Application to Go

This video was recorded at 24th Annual International Conference on Machine Learning (ICML), Corvallis 2007. The 24th Annual International Conference on Machine Learning was held in conjunction with the 2007 International Conference on Inductive Logic Programming at Oregon State University in Corvallis, Oregon. As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to "learn". At a general level, there are two types of learning: inductive, and deductive. Visit the Conference website here.
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