Cargando…

Pattern recognition and machine learning /

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessar...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Anzai, Yūichirō, 1946-
Formato: Electrónico eBook
Idioma:Inglés
Japonés
Publicado: Boston : Academic Press, ©1992.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Texto completo (Requiere registro previo con correo institucional)

MARC

LEADER 00000cam a2200000 a 4500
001 OR_ocn838102249
003 OCoLC
005 20231017213018.0
006 m o d
007 cr cnu---unuuu
008 130411s1992 maua ob 001 0 eng d
010 |a  92007073  
040 |a OPELS  |b eng  |e pn  |c OPELS  |d N$T  |d E7B  |d OCLCF  |d UMI  |d DEBBG  |d YDXCP  |d EBLCP  |d MHW  |d DEBSZ  |d OCLCQ  |d MERUC  |d OCLCQ  |d COO  |d CEF  |d NLE  |d UKMGB  |d OCLCQ  |d WYU  |d LEAUB  |d AU@  |d VT2  |d OCLCQ  |d LUN  |d OCLCQ  |d OCLCO  |d OCLCQ  |d OCLCO 
016 7 |a 017582533  |2 Uk 
019 |a 843637958  |a 850149212  |a 879462146  |a 1065694241  |a 1103251489  |a 1129366249  |a 1153036416 
020 |a 9780080513638  |q (electronic bk.) 
020 |a 0080513638  |q (electronic bk.) 
020 |z 0120588307 
020 |z 9780120588305 
029 1 |a AU@  |b 000050986392 
029 1 |a DEBBG  |b BV042032530 
029 1 |a DEBBG  |b BV042032681 
029 1 |a DEBBG  |b BV042312472 
029 1 |a DEBSZ  |b 414180003 
029 1 |a DEBSZ  |b 414181530 
029 1 |a DEBSZ  |b 431399522 
029 1 |a GBVCP  |b 804547106 
029 1 |a UKMGB  |b 017582533 
029 1 |a AU@  |b 000072990135 
035 |a (OCoLC)838102249  |z (OCoLC)843637958  |z (OCoLC)850149212  |z (OCoLC)879462146  |z (OCoLC)1065694241  |z (OCoLC)1103251489  |z (OCoLC)1129366249  |z (OCoLC)1153036416 
037 |a CL0500000427  |b Safari Books Online 
041 1 |a eng  |h jpn 
050 4 |a Q327  |b .A5813 1992eb 
072 7 |a COM  |x 016000  |2 bisacsh 
082 0 4 |a 006.3/7  |2 22 
084 |a 54.72  |2 bcl 
084 |a *68T10  |2 msc 
084 |a 68-01  |2 msc 
084 |a 68T05  |2 msc 
084 |a 68T30  |2 msc 
084 |a 68U10  |2 msc 
088 |a 92007073 
049 |a UAMI 
100 1 |a Anzai, Yūichirō,  |d 1946- 
240 1 0 |a Ninshiki to gakushū.  |l English 
245 1 0 |a Pattern recognition and machine learning /  |c Yuichiro Anzai. 
260 |a Boston :  |b Academic Press,  |c ©1992. 
300 |a 1 online resource (xvi, 407 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references (pages 387-402) and index. 
520 |a This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries. 
588 0 |a Print version record. 
505 0 |a Front cover; Pattern Recognition and Machine Learning; Copyright page; Tabel of Contents; Preface; Study Guide; Chapter 1. Recognition and Learning by a Computer; 1.1 What Is Recognition by a Computer?; 1.2 Representation and Transformationin Recognition; 1.3 What Is Learning by a Computer?; 1.4 Representation and Transformationin Learning; 1.5 Example of Recognition/Learning System; Summary; Keywords; Exercises; Chapter 2. Representing Information; 2.1 Pattern Function and Bit Pattern; 2.2 The Representation of Spatial Structure; 2.3 Graph Representation; 2.4 Tree Representation. 
505 8 |a 2.5 List Representation2.6 Predicate Logic Representation; 2.7 Horn Clause Logic Representation; 2.8 Declarative Representation; 2.9 Procedural Representation; 2.10 Representation Using Rules; 2.11 Semantic Networks and Frames; 2.12 Representation Using Fourier Series; 2.13 Classification of Representation Methods; Summary; Keywords; Exercises; Chapter 3. Generation and Transformation of Representations; 3.1 Methods of Generating and Transforming Representations; 3.2 Linear Transformations of Pattern Functions; 3.3 Sampling and Quantization of Pattern Functions. 
505 8 |a 3.4 Transformation to Spatial Representations3.5 Generation of Tree Representation; 3.6 Search and Problem Solving; 3.7 Logical Inference; 3.8 Production Systems; 3.9 Inference Using Frames; 3.10 Constraint Representation and Relaxation; 3.11 Summary; Keywords; Exercises; Chapter 4. Pattern Feature Extraction; 4.1 Detecting an Edge; 4.2 Detection of a Boundary Line; 4.3 Extracting a Region; 4.4 Texture Analysis; 4.5 Detection of Movement; 4.6 Representing a Boundary Line; 4.7 Representing a Region; 4.8 Representation of a Solid; 4.9 Interpretation of Line Drawings; Summary; Keywords. 
505 8 |a ExercisesChapter 5. Pattern UnderstandingMethods; 5.1 Pattern Understanding and Knowledge Representation; 5.2 Pattern Matching and the Relaxation Method; 5.3 Maximal Subgraph Isomorphism and Clique Method; 5.4 Control in Pattern Understanding; Summary; Keywords; Exercises; Chapter 6. Learning Concepts; 6.1 Definition of a Concept; 6.2 Methods for Concept Learning; 6.3 Generalization of Well-Formed Formulas; 6.4 Version Space; 6.5 Conceptual Clustering; Summary; Keywords; Exercises; Chapter 7. Learning Procedures; 7.1 Learning Operators in Problem Solving; 7.2 Learning Rules. 
505 8 |a 7.3 Learning ProgramsSummary; Keywords; Exercises; Chapter 8. Learning Based on Logic; 8.1 Explanation-Based Learning; 8.2 Analogical Learning; 8.3 Nonmonotonic Logic and Learning; Summary; Keywords; Exercises; Chapter 9. Learning by Classification and Discovery; 9.1 Representing Instances by a Decision Tree; 9.2 An Algorithm for Generating a Decision Tree; 9.3 Selecting a Test in Generating a Decision Tree; 9.4 Learning from Noisy Data; 9.5 Learning by Discovery; 9.6 Discovery of New Concepts and Rules; Summary; Keywords; Exercises; Chapter 10. Learning by Neural Networks. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Pattern perception. 
650 0 |a Machine learning. 
650 6 |a Perception des structures. 
650 6 |a Apprentissage automatique. 
650 7 |a COMPUTERS  |x Computer Vision & Pattern Recognition.  |2 bisacsh 
650 7 |a Machine learning  |2 fast 
650 7 |a Pattern perception  |2 fast 
650 7 |a RECONHECIMENTO DE PADRÕES.  |2 larpcal 
650 7 |a APRENDIZADO COMPUTACIONAL.  |2 larpcal 
650 7 |a Perception des structures.  |2 ram 
650 7 |a Reconnaissance des formes (informatique)  |2 ram 
650 7 |a Apprentissage automatique.  |2 ram 
776 0 8 |i Print version:  |a Anzai, Yūichirō, 1946-  |s Ninshiki to gakushū. English.  |t Pattern recognition and machine learning.  |d Boston : Academic Press, ©1992  |z 0120588307  |w (DLC) 92007073  |w (OCoLC)25410182 
856 4 0 |u https://learning.oreilly.com/library/view/~/9780120588305/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
856 4 0 |u https://learning.oreilly.com/library/view/~/9789814303477/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a EBL - Ebook Library  |b EBLB  |n EBL1179782 
938 |a ebrary  |b EBRY  |n ebr10699631 
938 |a EBSCOhost  |b EBSC  |n 574153 
938 |a YBP Library Services  |b YANK  |n 10680729 
994 |a 92  |b IZTAP