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  • 1
    Online Resource
    Online Resource
    New York :Academic Press,
    UID:
    almahu_9947366466502882
    Format: 1 online resource (245 p.)
    ISBN: 1-282-29019-3 , 9786612290190 , 0-08-095559-2
    Series Statement: Mathematics in science and engineering ; v. 52
    Content: Sequential methods in pattern recognition and machine learning
    Note: Description based upon print version of record. , 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 , 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 , 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 , 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 , 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 , 7.5 Summary and Further Remarks , English
    Additional Edition: ISBN 0-12-269550-X
    Language: English
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  • 2
    Online Resource
    Online Resource
    New York, NY [u.a.] : Academic Press
    UID:
    gbv_1657813347
    Format: Online-Ressource
    Edition: Elsevier e-book collection on ScienceDirect
    ISBN: 0080955592 , 9780080955599 , 9780122695506
    Series Statement: Mathematics in science and engineering v. 52
    Content: Sequential methods in pattern recognition and machine learning
    Note: Includes bibliographical references and indexes. - Print version record , 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.
    Additional Edition: ISBN 9780122695506
    Additional Edition: ISBN 012269550X
    Additional Edition: ISBN 9780122695506
    Additional Edition: Erscheint auch als Druck-Ausgabe Fu, K.S. (King Sun), 1930- Sequential methods in pattern recognition and machine learning New York : Academic Press, 1968
    Additional Edition: Erscheint auch als Druck-Ausgabe Fu, King S., 1930 - 1985 Sequential methods in pattern recognition and machine learning New York, NY [u.a.] : Academic Press, 1968
    Language: English
    Subjects: Computer Science , Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Maschinelles Lernen ; Computerunterstütztes Lernen ; Formwahrnehmung ; Computer ; Mustererkennung ; Electronic books ; Electronic books
    URL: Volltext  (Deutschlandweit zugänglich)
    Author information: Fu, King S. 1930-1985
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  • 3
    Book
    Book
    New York [u.a.] :Academic Press,
    UID:
    almahu_BV025938087
    Format: XI, 227 S.
    ISBN: 0-12-269550-X
    Series Statement: Mathematics in science and engineering 52
    Subjects: Computer Science , Mathematics
    RVK:
    RVK:
    Keywords: Mustererkennung ; Sequentialmethode ; Maschinelles Lernen ; Stochastik ; Wahrscheinlichkeit ; Bayes-Entscheidungstheorie
    Author information: Fu, King S., 1930-1985.
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  • 4
    UID:
    b3kat_BV001931816
    Format: XI, 227 S. , graph. Darst. , 24 cm
    ISBN: 012269550X
    Series Statement: Mathematics in science and engineering 52
    Language: English
    Subjects: Computer Science , Mathematics
    RVK:
    RVK:
    Keywords: Maschinelles Lernen ; Computerunterstütztes Lernen ; Formwahrnehmung ; Computer ; Mustererkennung
    Author information: Fu, King S. 1930-1985
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