Pattern recognition and machine learning / Christopher M. Bishop
Material type:
TextPublisher: Springer U.K 2006Description: xix, 738 pISBN: 0387310738Subject(s): Patern Recognition | Machine LearningDDC classification: 621.399,BIS
Contents:
Introduction (Page-1), Probability Distributions (Page-67), Linear Models for Regression (Page-137), Linear Models for Classification (Page-179), Neural Networks (Page-225), Kernal Methods (Page-291), Sparse Keranal Machines (Page-325), Graphical Models (Page-359), Mixture Models and EM (Page-423), Approximate Inference (Page-461), Sampling Mehtods (Page-523), Continuosus Latent Variables (Page-559), Sequential Data (Page-605), Combining Models (Page-653).
| Item type | Current location | Home library | Shelving location | Call number | Status | Notes | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|---|
Reference
|
Military College of Signals (MCS) | Military College of Signals (MCS) | Reference | 621.399,BIS (Browse shelf) | Not for loan | Almirah No.24, Shelf No.1 | MCS33775 |
Total holds: 0
Introduction (Page-1), Probability Distributions (Page-67), Linear Models for Regression (Page-137), Linear Models for Classification (Page-179), Neural Networks (Page-225), Kernal Methods (Page-291), Sparse Keranal Machines (Page-325), Graphical Models (Page-359), Mixture Models and EM (Page-423), Approximate Inference (Page-461), Sampling Mehtods (Page-523), Continuosus Latent Variables (Page-559), Sequential Data (Page-605), Combining Models (Page-653).
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