Learning first order concept definitions by using a bidirectional heuristic search strategy:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | German |
| Veröffentlicht: |
Sankt Augustin
Infix
1998
|
| Schriftenreihe: | Dissertationen zur künstlichen Intelligenz
187 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Karlsruhe, Univ., Diss., 1997 |
| Beschreibung: | XVIII, 208 S. |
| ISBN: | 3896011871 |
Internformat
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| 100 | 1 | |a Wiese, Markus |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Learning first order concept definitions by using a bidirectional heuristic search strategy |c Markus Wiese |
| 246 | 1 | 3 | |a Learning first-order concept definitions by using a bidirectional heuristic search strategy |
| 264 | 1 | |a Sankt Augustin |b Infix |c 1998 | |
| 300 | |a XVIII, 208 S. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Dissertationen zur künstlichen Intelligenz |v 187 | |
| 500 | |a Zugl.: Karlsruhe, Univ., Diss., 1997 | ||
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Datensatz im Suchindex
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| adam_text |
CONTENTS
1
INTRODUCTION
1
1.1
PROBLEM
DESCRIPTION
.
1
1.2
KNOWLEDGE
REPRESENTATION
FORMALISMS
.
6
1.3
PRACTICAL
APPLICATION
AREAS
OF
MACHINE
LEARNING
ALGORITHMS
.
.
9
1.4
OVERVIEW
OF
THE
THESIS
.
13
2
INDUCTIVE
LOGIC
PROGRAMMING
15
2.1
ILP
TERMINOLOGY
.
15
2.2
MODEL-THEORIES
OF
ILP
.
18
2.2.1
NORMAL
SEMANTICS
.
18
2.2.2
NONMONOTONIC
SEMANTICS
.
20
2.3
PROBLEM
SPECIFICATION
.
21
2.4
BACKGROUND
KNOWLEDGE
.
24
2.5
DECLARATIVE
BIASES
IN
ILP
SYSTEMS
.
25
2.5.1
RESTRICTING
THE
SEARCH
SPACE
(LANGUAGE
BIAS)
.
26
2.5.2
CHOOSING
A
SEARCH
STRATEGY
(SEARCH
BIAS)
.
31
2.5.3
EVALUATING
THE
HYPOTHESES
(VALIDATION
BIAS)
.
32
2.5.4
SEMANTIC
BIASES
.
34
2.6
FURTHER
RESEARCH
TOPICS
IN
ILP
.
35
3
BASIC
ILP
LEARNING
TECHNIQUES
37
3.1
ILP
AS
SEARCH
PROBLEM
.
37
3.2
INDUCTIVE
INFERENCE
USING
0-SUBSUMPTION
.
38
3.3
DEFINING
REFINEMENT
GRAPHS
.
39
3.4
SPECIALISATION
TECHNIQUES
.
40
3.4.1
TOP-DOWN
SEARCH
OF
REFINEMENT
GRAPHS
.
41
3.5
GENERALISATION
TECHNIQUES
.
42
3.5.1
RELATIVE
LEAST
GENERAL
GENERALISATION
.
43
3.5.2
INVERTING
RESOLUTION
.
45
3.6
COMBINING
GENERALISATION
AND
SPECIALISATION
TECHNIQUES
.
46
XII
CONTENTS
4
THE
ILP
LEARNING
SYSTEM
JOJO-FOL
49
4.1
FUNDAMENTAL
IDEAS
OF
A
BIDIRECTIONAL
SEARCH
.
49
4.1.1
COMBINING
TOP-DOWN
AND
BOTTOM-UP
SEARCH
.
50
4.1.2
CHOOSING
STARTING
POINTS
.
52
4.1.3
A
COARSE
DESCRIPTION
OF
OUR
APPROACH
.
54
4.1.4
CHARACTERISTICS
OF
THE
JOJO-FOL
SYSTEM
.
59
4.2
PRE-PROCESSING
OF
THE
TRAINING
DATA
.
61
4.2.1
TRANSFORMING
FIRST-ORDER
INTO
PROPOSITIONAL
LOGIC
.
61
4.2.2
DEFINING
AN
EXAMPLE
.
63
4.2.3
GENERATING
NEGATIVE
EXAMPLES
.
65
4.2.4
USING
BACKGROUND
KNOWLEDGE
.
67
4.3
LANGUAGE
BIAS
IN
JOJO-FOL
.
68
4.3.1
RESTRICTING
THE
FIRST-ORDER
LANGUAGE
IN
JOJO-FOL
.
68
4.3.2
FIXING
THE
NUMBER
OF
VARIABLES
.
69
4.3.3
BUILDING
AN
INITIAL
HYPOTHESIS
SPACE
.
71
4.3.4
SHIFTING
THE
LANGUAGE
BIAS
IN
JOJO-FOL
.
84
4.3.5
HEURISTICS
FOR
ASSIGNING
TYPES
TO
NEW
VARIABLES
.
85
4.4
SEARCH
STRATEGY
AND
SEARCH
HEURISTICS
IN
JOJO-FOL
.
92
4.4.1
CHOOSING
BETWEEN
DIFFERENT
SEARCH
MODES
.
92
4.4.2
THE
BIDIRECTIONAL
SEARCH
STRATEGY
.
93
4.4.3
AN
EXAMPLE
OF
THE
BIDIRECTIONAL
SEARCH
.
94
4.4.4
DERIVING
PREFERENCE
CRITERIA
FROM
THE
COMPLETENESS
AND
CORRECTNESS
REQUIREMENTS
.
97
4.4.5
STOPPING
CRITERIA
.
100
4.5
THE
JOJO-FOL
ALGORITHM
.
103
4.5.1
THREE
DIFFERENT
TYPES
OF
RULE
SETS
.
103
4.5.2
THE
ITERATIVE
RULE
DISCOVERY
METHOD
IN
JOJO-FOL
.
.
.
104
4.5.3
EVALUATING
RULES
IN
JOJO-FOL
.
108
4.5.4
LEARNING
RECURSIVE
CLAUSES
.
123
4.5.5
LEARNING
NEGATIVE
CONCEPTS
.
124
4.5.6
AN
EXAMPLE
RUN
OF
JOJO-FOL
.
125
4.6
POST-PROCESSING
.
129
4.6.1
REMOVING
NOT
ACCURATE
RULES
.
129
4.6.2
BUILDING
A
MINIMUM
COVER
.
130
4.6.3
CHECKING
FOR
LOGICALLY
EQUIVALENT
VARIABLE
PERMUTATIONS
130
4.7
IMPLEMENTATION
OF
JOJO-FOL
.
131
4.7.1
SPECIFIED
FORMATS
FOR
INPUT
DATA
.
132
4.7.2
THE
OUTPUT
RULES
.
134
4.7.3
RESTRICTING
THE
NUMBER
OF
TUPLES
.
136
4.7.4
THE
PARAMETERS
OF
JOJO-FOL
.
137
4.7.5
HELP
FOR
THE
PARAMETER
SETTING
.
144
CONTENTS
XIII
4.7.6
INTEGRATING
JOJO-FOL
IN
THE
RJ
LEARNING
ENVIRONMENT
.
145
5
EXPERIMENTS
WITH
JOJO-FOL
147
5.1
CHARACTERISING
THE
TEST
DOMAINS
.
148
5.1.1
ILLEGAL
CHESS
ENDGAME
POSITIONS
OF
WHITE
KING
AND
ROOK
VERSUS
BLACK
KING
(KRK)
.
148
5.1.2
THE
FINITE
ELEMENT
(FE)
MESH
DESIGN
METHOD
.
150
5.1.3
THE
SECONDARY
STRUCTURE
OF
PROTEINS
.
152
5.1.4
THE
MANUFACTURING
PROCESS
OF
WORK
PIECES
.
154
5.2
EXPERIMENTS
AND
TEST
RESULTS
WITH
REAL-WORLD
DATA
.
157
5.2.1
LEARNING
ILLEGAL
POSITIONS
IN
THE
KRK
CHESS
ENDGAME
.
157
5.2.2
LEARNING
RULES
FOR
DETERMINING
THE
RESOLUTION
OF
A
FE
MESH
.
163
5.2.3
LEARNING
RULES
FOR
PREDICTING
THE
PROTEIN
SECONDARY
STRUC
TURE
.
171
5.2.4
GENERATING
SEQUENCES
IN
THE
MANUFACTURING
PROCESS
OF
WORK
PIECES
.
180
5.3
SHAPING
UP
THE
STRONGNESSES
AND
WEAKNESSES
OF
JOJO-FOL
IN
COMPARISON
TO
OTHER
ILP
SYSTEMS
.
188
6
CONCLUSIONS
191
6.1
CONTRIBUTIONS
OF
THE
THESIS
.
191
6.2
OPEN
PROBLEMS
AND
FUTURE
RESEARCH
.
192
6.3
CONCLUDING
REMARKS
.
194
BIBLIOGRAPHY
195
INDEX
205 |
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| author | Wiese, Markus |
| author_facet | Wiese, Markus |
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| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV012016140 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-16T01:20:03Z |
| institution | BVB |
| isbn | 3896011871 |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-008132837 |
| oclc_num | 75847493 |
| open_access_boolean | |
| owner | DE-91G DE-BY-TUM DE-29T |
| owner_facet | DE-91G DE-BY-TUM DE-29T |
| physical | XVIII, 208 S. |
| publishDate | 1998 |
| publishDateSearch | 1998 |
| publishDateSort | 1998 |
| publisher | Infix |
| record_format | marc |
| series | Dissertationen zur künstlichen Intelligenz |
| series2 | Dissertationen zur künstlichen Intelligenz |
| spelling | Wiese, Markus Verfasser aut Learning first order concept definitions by using a bidirectional heuristic search strategy Markus Wiese Learning first-order concept definitions by using a bidirectional heuristic search strategy Sankt Augustin Infix 1998 XVIII, 208 S. txt rdacontent n rdamedia nc rdacarrier Dissertationen zur künstlichen Intelligenz 187 Zugl.: Karlsruhe, Univ., Diss., 1997 Suchverfahren (DE-588)4132315-4 gnd rswk-swf Induktive Logik (DE-588)4161594-3 gnd rswk-swf Logische Programmierung (DE-588)4195096-3 gnd rswk-swf Heuristik (DE-588)4024772-7 gnd rswk-swf Wissensrepräsentation (DE-588)4049534-6 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Maschinelles Lernen (DE-588)4193754-5 s Wissensrepräsentation (DE-588)4049534-6 s Logische Programmierung (DE-588)4195096-3 s Induktive Logik (DE-588)4161594-3 s Suchverfahren (DE-588)4132315-4 s Heuristik (DE-588)4024772-7 s DE-604 Dissertationen zur künstlichen Intelligenz 187 (DE-604)BV005345280 187 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008132837&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wiese, Markus Learning first order concept definitions by using a bidirectional heuristic search strategy Dissertationen zur künstlichen Intelligenz Suchverfahren (DE-588)4132315-4 gnd Induktive Logik (DE-588)4161594-3 gnd Logische Programmierung (DE-588)4195096-3 gnd Heuristik (DE-588)4024772-7 gnd Wissensrepräsentation (DE-588)4049534-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4132315-4 (DE-588)4161594-3 (DE-588)4195096-3 (DE-588)4024772-7 (DE-588)4049534-6 (DE-588)4193754-5 (DE-588)4113937-9 |
| title | Learning first order concept definitions by using a bidirectional heuristic search strategy |
| title_alt | Learning first-order concept definitions by using a bidirectional heuristic search strategy |
| title_auth | Learning first order concept definitions by using a bidirectional heuristic search strategy |
| title_exact_search | Learning first order concept definitions by using a bidirectional heuristic search strategy |
| title_full | Learning first order concept definitions by using a bidirectional heuristic search strategy Markus Wiese |
| title_fullStr | Learning first order concept definitions by using a bidirectional heuristic search strategy Markus Wiese |
| title_full_unstemmed | Learning first order concept definitions by using a bidirectional heuristic search strategy Markus Wiese |
| title_short | Learning first order concept definitions by using a bidirectional heuristic search strategy |
| title_sort | learning first order concept definitions by using a bidirectional heuristic search strategy |
| topic | Suchverfahren (DE-588)4132315-4 gnd Induktive Logik (DE-588)4161594-3 gnd Logische Programmierung (DE-588)4195096-3 gnd Heuristik (DE-588)4024772-7 gnd Wissensrepräsentation (DE-588)4049534-6 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Suchverfahren Induktive Logik Logische Programmierung Heuristik Wissensrepräsentation Maschinelles Lernen Hochschulschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=008132837&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV005345280 |
| work_keys_str_mv | AT wiesemarkus learningfirstorderconceptdefinitionsbyusingabidirectionalheuristicsearchstrategy |