| Overview of the rest of the tutorial |
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| • | How to fine-tune
a greedily trained generative model to |
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| be better at
discrimination. |
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| • | How to learn a
kernel for a Gaussian process. |
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| • | How to use deep
belief nets for non-linear dimensionality |
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| reduction and
document retrieval. |
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| • | How to use deep
belief nets for sequential data. |
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| • | How to learn a
generative hierarchy of conditional |
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| random fields. |
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