Pattern recognition and neural networks:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
2009
|
| Ausgabe: | 1. paperback ed. 1997, reprint. 2009 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. [355] - 390 |
| Beschreibung: | XI, 403 S. graph. Darst. |
| ISBN: | 9780521717700 |
Internformat
MARC
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| 300 | |a XI, 403 S. |b graph. Darst. | ||
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Datensatz im Suchindex
| _version_ | 1810716423629045760 |
|---|---|
| adam_text |
IMAGE 1
PREFACE
P. IX
NOTATION
P. XII
INTRODUCTION AND EXAMPLES
P. 1
HOW DO NEURAL METHODS DIFFER?
P. 4
THE PATTERN RECOGNITION TASK
P. 5
OVERVIEW OF THE REMAINING CHAPTERS
P. 9
EXAMPLES
P. 10
LITERATURE
P. 15
STATISTICAL DECISION THEORY
P. 17
BAYES RULES FOR KNOWN DISTRIBUTIONS
P. 18
PARAMETRIC MODELS
P. 26
LOGISTIC DISCRIMINATION
P. 43
PREDICTIVE CLASSIFICATION
P. 45
ALTERNATIVE ESTIMATION PROCEDURES
P. 55
HOW COMPLEX A MODEL DO WE NEED?
P. 59
PERFORMANCE ASSESSMENT
P. 66
COMPUTATIONAL LEARNING APPROACHES
P. 77
LINEAR DISCRIMINANT ANALYSIS
P. 91
CLASSICAL LINEAR DISCRIMINATION
P. 92
LINEAR DISCRIMINANTS VIA REGRESSION
P. 101
ROBUSTNESS
P. 105
SHRINKAGE METHODS
P. 106
LOGISTIC DISCRIMINATION
P. 109
LINEAR SEPARATION AND PERCEPTRONS
P. 116
FLEXIBLE DISCRIMINANTS
P. 121
FITTING SMOOTH PARAMETRIC FUNCTIONS
P. 122
RADIAL BASIS FUNCTIONS
P. 131
REGULARIZATION
P. 136
FEED-FORWARD NEURAL NETWORKS
P. 143
BIOLOGICAL MOTIVATION
P. 145
THEORY
P. 147
LEARNING ALGORITHMS
P. 148
EXAMPLES
P. 160
BAYESIAN PERSPECTIVES
P. 163
NETWORK COMPLEXITY
P. 168
APPROXIMATION RESULTS
P. 173
NON-PARAMETRIC METHODS
P. 181
NON-PARAMETRIC ESTIMATION OF CLASS DENSITIES
P. 181
NEAREST NEIGHBOUR METHODS
P. 191
LEARNING VECTOR QUANTIZATION
P. 201
MIXTURE REPRESENTATIONS
P. 207
IMAGE 2
TREE-STRUCTURED CLASSIFIERS
P. 213
SPLITTING RULES
P. 216
PRUNING RULES
P. 221
MISSING VALUES
P. 231
EARLIER APPROACHES
P. 235
REFINEMENTS
P. 237
RELATIONSHIPS TO NEURAL NETWORKS
P. 240
BAYESIAN TREES
P. 241
BELIEF NETWORKS
P. 243
GRAPHICAL MODELS AND NETWORKS
P. 246
CAUSAL NETWORKS
P. 262
LEARNING THE NETWORK STRUCTURE
P. 275
BOLTZMANN MACHINES
P. 279
HIERARCHICAL MIXTURES OF EXPERTS
P. 283
UNSUPERVISED METHODS
P. 287
PROJECTION METHODS
P. 288
MULTIDIMENSIONAL SCALING
P. 305
CLUSTERING ALGORITHMS
P. 311
SELF-ORGANIZING MAPS
P. 322
FINDING GOOD PATTERN FEATURES
P. 327
BOUNDS FOR THE BAYES ERROR
P. 328
NORMAL CLASS DISTRIBUTIONS
P. 329
BRANCH-AND-BOUND TECHNIQUES
P. 330
FEATURE EXTRACTION
P. 331
STATISTICAL SIDELINES
P. 333
MAXIMUM LIKELIHOOD AND MAP ESTIMATION
P. 333
THE EM ALGORITHM
P. 334
MARKOV CHAIN MONTE CARLO
P. 337
AXIOMS FOR CONDITIONAL INDEPENDENCE
P. 339
OPTIMIZATION
P. 342
GLOSSARY
P. 347
REFERENCES
P. 355
AUTHOR INDEX
P. 391
SUBJECT INDEX
P. 399
TABLE OF CONTENTS PROVIDED BY BLACKWELL'S BOOK SERVICES AND R.R. BOWKER.
USED WITH PERMISSION. |
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| ctrlnum | (OCoLC)551883623 (DE-599)GBV609091557 |
| discipline | Informatik |
| edition | 1. paperback ed. 1997, reprint. 2009 |
| format | Book |
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| id | DE-604.BV035758668 |
| illustrated | Illustrated |
| indexdate | 2024-09-20T12:02:27Z |
| institution | BVB |
| isbn | 9780521717700 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-018618587 |
| oclc_num | 551883623 |
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| owner_facet | DE-83 DE-861 DE-355 DE-BY-UBR DE-945 |
| physical | XI, 403 S. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | Ripley, Brian D. 1952- Verfasser (DE-588)124271413 aut Pattern recognition and neural networks B. D. Ripley 1. paperback ed. 1997, reprint. 2009 Cambridge [u.a.] Cambridge Univ. Press 2009 XI, 403 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Literaturverz. S. [355] - 390 Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Mustererkennung (DE-588)4040936-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s Statistische Entscheidungstheorie (DE-588)4077850-2 s DE-604 Maschinelles Lernen (DE-588)4193754-5 s Neuronales Netz (DE-588)4226127-2 s GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018618587&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Ripley, Brian D. 1952- Pattern recognition and neural networks Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Neuronales Netz (DE-588)4226127-2 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4077850-2 (DE-588)4226127-2 (DE-588)4040936-3 (DE-588)4193754-5 |
| title | Pattern recognition and neural networks |
| title_auth | Pattern recognition and neural networks |
| title_exact_search | Pattern recognition and neural networks |
| title_full | Pattern recognition and neural networks B. D. Ripley |
| title_fullStr | Pattern recognition and neural networks B. D. Ripley |
| title_full_unstemmed | Pattern recognition and neural networks B. D. Ripley |
| title_short | Pattern recognition and neural networks |
| title_sort | pattern recognition and neural networks |
| topic | Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Neuronales Netz (DE-588)4226127-2 gnd Mustererkennung (DE-588)4040936-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Statistische Entscheidungstheorie Neuronales Netz Mustererkennung Maschinelles Lernen |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018618587&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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