Pattern recognition and machine learning
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| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
New York, USA
Springer Science and Business Media
2006
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| Series: | Information Science and Statistics
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| Subjects: | |
| Online Access: | Disponible Online |
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Table of Contents:
- 1 Introduction 2 Probability Distributions 3 Linear Models for Regression 4 Linear Models for Classification 5 Neural Networks 6 Kernel Methods 7 Sparse Kernel Machines 8 Graphical Models 9 Mixture Models and EM 10 Approximate Inference 11 Sampling Methods 12 Continuous Latent Variables 13 Sequential Data 14 Combining Models Appendix A Data Sets Appendix B Probability Distributions Appendix C Properties of Matrices Appendix D Calculus of Variations Appendix E Lagrange Multipliers References Index