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Overview |
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Section 16.1: Early Stopping |
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Section 16.2: Regularization |
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Section 16.3: Pruning Methods |
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Section 16.4: Constructive
Methods |
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Section 16.5: Weight Decay |
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Section 16.6: Information
Minimization |
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Section 16.7: Replicated
Networks |
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Section 16.8: Training with Noisy
Data |
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Section 16.9: Use of Domain-Dependent Prior
Information |
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Section 16.10: Hint Functions |
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Section 16.11: Knowledge-Based Neural
Nets |
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Section 16.12: Physical Models to Generate
Additional Data |