Pattern recognition and machine learning (Record no. 37482)

MARC details
000 -LEADER
fixed length control field 03317 a2200241 4500
003 - CONTROL NUMBER IDENTIFIER
control field ISURa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140818b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780387310732
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English Language
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.399
Item number BIS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bishop , Christopher M.
9 (RLIN) 70190
245 ## - TITLE STATEMENT
Title Pattern recognition and machine learning
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc 2006
Place of publication, distribution, etc New York
Name of publisher, distributor, etc Springer Science
300 ## - PHYSICAL DESCRIPTION
Other physical details some Colour
Dimensions 23 cm.
Extent xx , 738 p.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Information science and statistics.
9 (RLIN) 70191
500 ## - GENERAL NOTE
General note Introduction. Example : polynomial curve fitting ; Probability theory ; Model selection ; The curse of dimensionality Decision theory ; Information theory --<br/>Probability distributions. Binary vehicles ; Multinomial variables ; The Gaussian distribution ; The exponential family ; Nonparametric methods --<br/>Linear models for regression. Linear basis function models ; The bias-variance decomposition ; Bayesian linear regression ; Bayesian model comparison ; The evidence approximation ; Limitations of fixed basis functions --<br/>Linear models for classification. Discriminant functions ; Probabilistic generative models ; Probabilistic discrimitive models ; The Laplace approximation ; Bayesian logistic regression --<br/>Neural networks. Feed-forward network functions ; Network training ; Error backpropagation ; The Hessian matrix ; Regularization in neural networks ; Mixture density networks ; Bayesian neural networks --<br/>Kernel methods. Dual representations ; Constructing kernals ; Radial basis function networks ; Gaussian processes --<br/>Sparse Kernel machines. Maximum margin classifiers ; Relevance vector machines --<br/>Graphical models. Bayesian networks ; Conditional independence ; Markov random fields ; Inference in graphical models --<br/>Mixture models and EM. K-means clustering ; Mixtures of Gaussians ; An alternative view of EM ; The EM algorithm in general --<br/>Approximate inference. Variational inference ; Illustration : variational mixture of Gaussians ; Variational linear regression ; Exponential family distributions ; Local variational methods ; Variational logistic regression ; Expectation propagation --<br/>Sampling methods. Basic sampling algorithms ; Markov chain Monte Carlo ; Gibbs sampling ; Slice sampling ; The hybrid Monte Carlo algorithm ; Estimating the partition function --<br/>Continuous latent variables. Principal component analysis ; Probabilistic PCA ; Kernel PCA ; Nonlinear latent variable models --<br/>Sequential data. Markoc models ; Hidden Markov models ; Linear dynamical systems --<br/>Combining models. Bayesian model averaging ; Committees ; Boosting ; Tree-based models ; Conditional mixture models --<br/>Data sets --<br/>Probability distributions --<br/>Properties of matrices --<br/>Calculus of variations --<br/>Lagrange multipliers.
520 ## - SUMMARY, ETC.
Summary, etc <br/>The field of pattern recognition has undergone substantial development over the years. This book reflects these developments while providing a grounding in the basic concepts of pattern recognition and machine learning. It is aimed at advanced undergraduates or first year PhD students, as well as researchers and practitioners.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Pattern perception. .
9 (RLIN) 70192
Topical term or geographic name as entry element Pattern recognition systems
9 (RLIN) 70193
Topical term or geographic name as entry element Machine learning.
9 (RLIN) 69133
Topical term or geographic name as entry element Artificial intelligence
9 (RLIN) 1591
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Sheduled Reference
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date checked out Price effective from Koha item type
    Dewey Decimal Classification     Reference Collection Applied Sciences Library Applied Sciences Library Reference Section 22/02/2010 13000.00 1 621.399 BIS 56710 01/11/2018 30/10/2018 24/06/2015 Sheduled Reference
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 05/04/2019 13450.50   621.399 BIS 112942 06/04/2019   06/04/2019 Lending Books
    Dewey Decimal Classification     Lending Collection Applied Sciences Library Applied Sciences Library Lending Section 05/04/2019 13450.50 1 621.399 BIS 112943 30/12/2020 13/02/2020 06/04/2019 Lending Books