Pattern recognition and machine learning
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
New York, USA
Springer Science and Business Media
2006
|
| Schriftenreihe: | Information Science and Statistics
|
| Schlagworte: | |
| Online-Zugang: | Disponible Online |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Inhaltsangabe:
- 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