Pattern recognition and machine learning /
Bishop, Christopher M.
Pattern recognition and machine learning / Christopher M. Bishop. - xx, 738 páginas : ilustraciones (algunas color) - Information science and statistics .
Incluye índice
Referencias bibliográficas
1. Introduction. 2. Probability distributions. 3. Linear models for refression. 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. Combinign models.
9780387310732
Reconocimiento de modelos
Aprendizaje de máquina
006.4 / B541p 2006
Pattern recognition and machine learning / Christopher M. Bishop. - xx, 738 páginas : ilustraciones (algunas color) - Information science and statistics .
Incluye índice
Referencias bibliográficas
1. Introduction. 2. Probability distributions. 3. Linear models for refression. 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. Combinign models.
9780387310732
Reconocimiento de modelos
Aprendizaje de máquina
006.4 / B541p 2006