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221028 ||| eng |
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|a 9780080955599
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|a 0080955592
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|a 1282290193
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4 |
|a Q327
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1 |
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|a Fu, K. S.
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| 245 |
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|a Sequential methods in pattern recognition and machine learning
|c K.S. Fu
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| 260 |
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|a New York
|b Academic Press
|c 1968, 1968
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| 300 |
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|a xi, 227 pages
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| 505 |
0 |
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|a Chapter 5. Nonparametric Procedure in Sequential Pattern Classification5.1 Introduction; 5.2 Sequential Ranks and Sequential Ranking Procedure; 5.3 A Sequential Two-Sample Test Problem; 5.4 Nonparametric Design of Sequential Pattern Classifiers; 5.5 Analysis of Optimal Performance and a Multiclass Generalization; 5.6 Experimental Results and Discussions; 5.7 Summary and Further Remarks; References; Chapter 6. Bayesian Learning in Sequential Pattern Recognition Systems; 6.1 Supervised Learning Using Bayesian Estimation Techniques; 6.2 Nonsupervised Learning Using Bayesian Estimation Techniques
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| 505 |
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|a 2.2 Feature Selection and Ordering-Karhunen-Loève Expansion2.3 Illustrative Examples; 2.4 Summary and Further Remarks; References; Chapter 3. Forward Procedure for Finite Sequential Classification Using Modified Sequential Probability Ratio Test; 3.1 Introduction; 3.2 Modified Sequential Probability Ratio Test-Discrete Case; 3.3 Modified Sequential Probability Ratio Test-Continuous Case; 3.4 Procedure of Modified Generalized Sequential Probability Ratio Test; 3.5 Experiments in Pattern Classification; 3.6 Summary and Further Remarks; References
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| 505 |
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|a 6.3 Bayesian Learning of Slowly Varying Patterns6.4 Learning of Parameters Using an Empirical Bayes Approach; 6.5 A General Model for Bayesian Learning Systems; 6.6 Summary and Further Remarks; References; Chapter 7. Learning in Sequential Recognition Systems Using Stochastic Approximation; 7.1 Supervised Learning Using Stochastic Approximation; 7.2 Nonsupervised Learning Using Stochastic Approximation; 7.3 A General Formulation of Nonsupervised Learning Systems Using Stochastic Approximation; 7.4 Learning of Slowly Time-Varying Parameters Using Dynamic Stochastic Approximation
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| 505 |
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|a Front Cover; Sequential Methods in Pattern Recognition and Machine Learning; Copyright Page; Contents; Preface; Chapter 1. Introduction; 1.1 Pattern Recognition; 1.2 Deterministic Classification Techniques; 1.3 Training in Linear Classifiers; 1.4 Statistical Classification Techniques; 1.5 Sequential Decision Model for Pattern Classification; 1.6 Learning in Sequential Pattern Recognition Systems; 1.7 Summary and Further Remarks; References; Chapter 2. Feature Selection and Feature Ordering; 2.1 Feature Selection and Ordering-Information Theoretic Approach
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| 505 |
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|a Chapter 4. Backward Procedure for Finite Sequential Recognition Using Dynamic Programming4.1 Introduction; 4.2 Mathematical Formulation and Basic Functional Equation; 4.3 Reduction of Dimensionality; 4.4 Experiments in Pattern Classification; 4.5 Backward Procedure for Both Feature Ordering and Pattern Classification; 4.6 Experiments in Feature Ordering and Pattern Classification; 4.7 Use of Dynamic Programming for Feature-Subset Selection; 4.8 Suboptimal Sequential Pattern Recognition; 4.9 Summary and Further Remarks; References
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|a Includes bibliographical references and indexes
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| 653 |
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|a Operations research / http://id.loc.gov/authorities/subjects/sh85095020
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| 653 |
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|a Machine learning / fast / (OCoLC)fst01004795
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| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Perceptrons / http://id.loc.gov/authorities/subjects/sh85099714
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| 653 |
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|a Statistical decision / http://id.loc.gov/authorities/subjects/sh85127565
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| 653 |
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|a data processing / aat
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| 653 |
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|a Electronic Data Processing
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| 653 |
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|a Recherche opérationnelle
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| 653 |
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|a Perceptrons / fast / (OCoLC)fst01057646
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| 653 |
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|a Prise de décision (Statistique)
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| 653 |
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|a Statistical decision / fast / (OCoLC)fst01132059
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| 653 |
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|a Informatique
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| 653 |
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|a COMPUTERS / Optical Data Processing / bisacsh
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| 653 |
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|a Operations Research
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| 653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Electronic data processing / http://id.loc.gov/authorities/subjects/sh85042288
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| 653 |
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|a Perceptrons
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| 653 |
|
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|a computer science / aat
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| 653 |
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|a Computer science / http://id.loc.gov/authorities/subjects/sh89003285
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b ZDB-1-ELC
|a Elsevier eBook collection Mathematics
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| 490 |
0 |
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|a Mathematics in science and engineering
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| 500 |
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|a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002
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| 776 |
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|z 9780122695506
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| 776 |
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|z 0080955592
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| 776 |
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|z 012269550X
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| 776 |
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|z 9780080955599
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| 856 |
4 |
0 |
|u https://www.sciencedirect.com/science/bookseries/00765392/52
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 006.4
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| 520 |
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|a Sequential methods in pattern recognition and machine learning
|