Learning Distributed Representations for Statistical Language Modelling and Collaborative Filtering
With the increasing availability of large datasets machine learning techniques are becoming an increasingly attractive alternative to expert-designed approaches to solving complex problems in domains where data is abundant. In this thesis we introduce several models for large sparse discrete dataset...
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| Language: | en_ca |
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2010
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| Online Access: | http://hdl.handle.net/1807/24832 |