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Cover image for Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

1.

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

by

Yuan, Yang, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10814646

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theoretical explanations. On the other hand, the algorithms analyzed in the theoretical machine learning

Cover image for Deep Learning and Structured Data

2.

Deep Learning and Structured Data

by

Zhang, Chiyuan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902476

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notion in machine learning theory. We will show how, in the regime of deep learning, the characterization

Cover image for Using High-Order Prior Belief Predictions in Hierarchical Temporal Memory for Streaming Anomaly Detection

3.

Using High-Order Prior Belief Predictions in Hierarchical Temporal Memory for Streaming Anomaly Detection

by

Kutt, Brody, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824848

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Hierarchical Temporal Memory (HTM) is a biologically constrained theory of machine intelligence

Cover image for Continuous uncertain interaction

4.

Continuous uncertain interaction

by

Williamson, John, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10867975

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proper representation and manipulation of uncertainties in interaction - via probability theory - and the

Cover image for Efficient Markov Chain Monte Carlo Methods

5.

Efficient Markov Chain Monte Carlo Methods

by

Fang, Youhan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10809188

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. This dissertation focuses on new theory and methodology for efficient MCMC methods that aim to overcome

Cover image for Algorithms and Algorithmic Obstacles for Probabilistic Combinatorial Structures

6.

Algorithms and Algorithmic Obstacles for Probabilistic Combinatorial Structures

by

Li, Quan, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902456

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in the theory of random graphs, statistics and machine learning. In particular, we consider the

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