Introduction to learning classifier systems:
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Germany
Springer
2017
2017 |
| Schriftenreihe: | SpringerBriefs in intelligent systems
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext http://www.springer.com/ Inhaltsverzeichnis |
| Beschreibung: | 23.5 cm x 15.5 cm |
| ISBN: | 9783662550069 3662550067 |
Internformat
MARC
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| 100 | 1 | |a Urbanowicz, Ryan J. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Introduction to learning classifier systems |c Ryan J. Urbanowicz, Will N. Browne |
| 264 | 1 | |a Berlin, Germany |b Springer |c 2017 | |
| 264 | 1 | |b Springer |c 2017 | |
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| 653 | |a Adaptive Systems | ||
| 653 | |a Rule Discovery | ||
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Datensatz im Suchindex
| _version_ | 1817967967482150912 |
|---|---|
| adam_text |
CONTENTS
1 LCSS IN A N U TS H E LL.
.
1
1.1 A NON-TRIVIAL EXAMPLE PROBLEM: THE M
ULTIPLEXER. 1
1.2 KEY ELEMENTS
.
4
1.2.1
ENVIRONMENT.
4
1.2.2 RULES, MATCHING, AND
CLASSIFIERS. 4
1.2.3 DISCOVERY COMPONENT - EVOLUTIONARY COMPUTATION
.
6
1.2.4 LEARNING COMPONENT
.
7
1.3 LCS FUNCTIONAL
CYCLE.
7
1.4
POST-TRAINING.
10
1.4.1 RULE COM
PACTION.
10
1.4.2 PREDICTION
.
. 11
1.4.3
EVALUATION.
11
1.4.4
INTERPRETATION.
12
1.5 CODE EXERCISES
(ELCS).
13
2 LCS CO N CEP
TS.
21
2.1
LEARNING.
22
2.1.1 MODELING WITH A R
ULESET. 23
2.2 CLASSIFIER
.
24
2.2.1 R U LE S
.
24
2.2.2 REPRESENTATION AND A LP H AB ET
.
27
2.2.3
GENERALISATION.
28
2.3 S Y STEM
.
30
2.3.1 INTERACTION WITH PROBLEM S
.
30
2.3.2 COOPERATION OF CLASSIFIERS
.
33
2.3.3 COMPETITION BETWEEN
CLASSIFIERS. 34
2.4 PROBLEM
PROPERTIES.
35
2.4.1 PROBLEM C OM PLEXITY
.
35
2.4.2 APPLICATIONS O VERVIEW
.
37
2.5
ADVANTAGES.
39
2.6
DISADVANTAGES.
40
VIII CONTENTS
3 FUNCTIONAL CYCLE C OM PONENTS
.
41
3.1 EVOLUTIONARY COMPUTATION AND L C S
S. 42
3.2 INITIAL CONSIDERATIONS
.
44
3.3 BASIC ALPHABETS FOR RULE
REPRESENTATION. 45
3.3.1 ENCODING FOR BINARY ALPHABETS
.
45
3.3.2 INTERVAL-BASED
.
48
3.4 MATCHING
.
51
3.5
COVERING.
52
3.6 FORM A CORRECT SET OR SELECT AN
ACTION. 53
3.6.1 EXPLORE VS.
EXPLOIT.
54
3.6.2 ACTION SELECTION
.
56
3.7 PERFORMING THE ACTION
.
57
3.8 U P D A TE
.
58
3.8.1 NUMEROSITY OF RULES
. 58
3.8.2 FITNESS SHARING
.
59
3.9 SELECTION FOR RULE DISCOVERY
.
59
3.9.1 PARENT SELECTION M
ETHODS. 60
3.10 RULE D
ISCOVERY.
62
3.10.1 WHEN TO INVOKE RULE
DISCOVERY. 63
3.10.2 IDENTIFYING BUILDING BLOCKS OF KNOWLEDGE
.
64
3.10.3 M
UTATION.
65
3.10.4
CROSSOVER.
66
3.10.5 INITIALISING OFFSPRING CLASSIFIERS
.
.
67
3.10.6 OTHER RULE DISCOVERY
.
68
3.11 SUBSUM
PTION.
68
3.12 D
ELETION.
69
3.13 S UM M
ARY.
70
4 LCS A D A P TA B ILITY
.
71
4.1 LCS
PRESSURES.
71
4.2 MICHIGAN-STYLE VS. PITTSBURGH-STYLE L C S
S. 74
4.3 MICHIGAN-STYLE
APPROACHES.
76
4.3.1 MICHIGAN-STYLE SUPERVISED LEARNING (UCS)
.
76
4.3.2 UPDATES WITH TIME-WEIGHTED RECENCY AVERAGES
.
78
4.3.3 MICHIGAN-STYLE REINFORCEMENT LEARNING (E.G. X C S )
.
79
4.4 PITTSBURGH-STYLE A
PPROACHES.
87
4.4.1 GASSIST AND B IOH E L
. 87
4.4.2 GABIL, GALE, AND
A-PLUS. 88
4.5 STRENGTH- VS. ACCURACY-BASED
FITNESS. 89
4.5.1 STRENGTH-BASED
.
89
4.5.2
ACCURACY-BASED.
90
4.6 NICHE-BASED RULE
DISCOVERY.
90
4.7 SINGLE- VS. MULTI-STEP
LEARNING. 92
4.7.1 SENSE, PLAN, A C T
.
93
4.7.2 DELAYED R EW
ARD.
95
CONTENTS IX
4.7.3 ANTICIPATORY CLASSIFIER S YSTEM S
.
97
4.8 COMPUTED
ALPHABETS.
98
4.8.1 S-EXPRESSION AND GENETIC
PROGRAMMING. 98
4.8.2 ARTIFICIAL NEURAL N ETW ORKS
.
99
4.8.3 COMPUTED PREDICTION
.
99
4.8.4 COMPUTED A
CTION.
100
4.8.5 CODE FRAGM
ENTS.100
4.9 ENVIRONMENT
CONSIDERATIONS.
101
5 APPLYING LCSS
.
103
5.1 LCS S E TU P
.104
5.1.1 RUN PARAMETER*SWEET SPOTS*
.
110
5.1.2 HYBRIDISE OR D IE
.
113
5.2 TUNING
.114
5.3
TROUBLESHOOTING.115
5.3.1 LACK OF
CONVERGENCE.116
5.4 WHERE TO N O W ?
.117
5.4.1 WORKSHOPS AND CONFERENCES
.
117
5.4.2 BOOKS, JOURNALS, AND SELECT REVIEWS
.
118
5.4.3 WEBSITES AND SOFTWARE
.
121
5.4.4
COLLABORATE.122
5.5 CONCLUDING
REMARKS.
123 |
| any_adam_object | 1 |
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| author_facet | Urbanowicz, Ryan J. Browne, Will |
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| bvnumber | BV044413553 |
| classification_rvk | ST 304 |
| ctrlnum | (OCoLC)984753682 (DE-599)DNB1130266737 |
| discipline | Informatik |
| format | Book |
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| physical | 23.5 cm x 15.5 cm |
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| spelling | Urbanowicz, Ryan J. Verfasser aut Introduction to learning classifier systems Ryan J. Urbanowicz, Will N. Browne Berlin, Germany Springer 2017 Springer 2017 23.5 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier SpringerBriefs in intelligent systems Soft Computing (DE-588)4455833-8 gnd rswk-swf Lernendes System (DE-588)4120666-6 gnd rswk-swf Automatische Klassifikation (DE-588)4120957-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Computational Intelligence Adaptive Systems Rule Discovery Lernendes System (DE-588)4120666-6 s Automatische Klassifikation (DE-588)4120957-6 s Maschinelles Lernen (DE-588)4193754-5 s Soft Computing (DE-588)4455833-8 s DE-604 Browne, Will Verfasser aut Springer-Verlag GmbH (DE-588)1065168780 pbl Erscheint auch als Online-Ausgabe, eBook 978-3-662-55007-6 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=6b2649ff79644dbc8f766ca75463cac3&prov=M&dok_var=1&dok_ext=htm Inhaltstext X:MVB http://www.springer.com/ DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029815296&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Urbanowicz, Ryan J. Browne, Will Introduction to learning classifier systems Soft Computing (DE-588)4455833-8 gnd Lernendes System (DE-588)4120666-6 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4455833-8 (DE-588)4120666-6 (DE-588)4120957-6 (DE-588)4193754-5 |
| title | Introduction to learning classifier systems |
| title_auth | Introduction to learning classifier systems |
| title_exact_search | Introduction to learning classifier systems |
| title_full | Introduction to learning classifier systems Ryan J. Urbanowicz, Will N. Browne |
| title_fullStr | Introduction to learning classifier systems Ryan J. Urbanowicz, Will N. Browne |
| title_full_unstemmed | Introduction to learning classifier systems Ryan J. Urbanowicz, Will N. Browne |
| title_short | Introduction to learning classifier systems |
| title_sort | introduction to learning classifier systems |
| topic | Soft Computing (DE-588)4455833-8 gnd Lernendes System (DE-588)4120666-6 gnd Automatische Klassifikation (DE-588)4120957-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Soft Computing Lernendes System Automatische Klassifikation Maschinelles Lernen |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=6b2649ff79644dbc8f766ca75463cac3&prov=M&dok_var=1&dok_ext=htm http://www.springer.com/ http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029815296&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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