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How to learn
multi-layer generative models of unlabelled
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data by learning
one layer of features at a time.
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How
to add Markov Random Fields in each hidden layer.
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How to use
generative models to make discriminative
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training methods
work much better for classification and
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regression.
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How
to extend this approach to Gaussian Processes and
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how
to learn complex, domain-specific
kernels for a
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Gaussian
Process.
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How to perform
non-linear dimensionality reduction on very
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large datasets
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How
to learn binary, low-dimensional codes and how to
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use
them for very fast document retrieval.
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How to learn
multilayer generative models of high-
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dimensional
sequential data.
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