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by
Yuan, Yang, author.
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theoretical explanations. On the other hand, the algorithms analyzed in the theoretical machine learning
by
Zhang, Chiyuan, author.
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notion in machine learning theory. We will show how, in the regime of deep learning, the characterization
by
Kutt, Brody, author.
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Hierarchical Temporal Memory (HTM) is a biologically constrained theory of machine intelligence
by
Williamson, John, author.
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proper representation and manipulation of uncertainties in interaction - via probability theory - and the
by
Fang, Youhan, author.
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. This dissertation focuses on new theory and methodology for efficient MCMC methods that aim to overcome
by
Li, Quan, author.
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in the theory of random graphs, statistics and machine learning. In particular, we consider the
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