Efficient Machine Learning with High Order and Combinatorial Structures
The overaching goal in this thesis is to develop the representational frameworks, the inference algorithms, and the learning methods necessary for the accurate modeling of domains that exhibit complex and non-local dependency structures. There are three parts to this thesis. In the first part, we...
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Language: | en_ca |
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2013
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Online Access: | http://hdl.handle.net/1807/36015 |