Innovations in intelligent machines: 2 Intelligent paradigms and applications
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin [u.a.]
Springer
2012
|
| Schriftenreihe: | Studies in computational intelligence
376 |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | XV, 279 S. Ill., graph. Darst. |
| ISBN: | 9783642231896 3642231896 |
Internformat
MARC
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| 245 | 1 | 0 | |a Innovations in intelligent machines |n 2 |p Intelligent paradigms and applications |c Toyohide Watanabe ... (eds.) |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2012 | |
| 300 | |a XV, 279 S. |b Ill., graph. Darst. | ||
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| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Studies in computational intelligence |v 376 | |
| 490 | 0 | |a Studies in computational intelligence |v ... | |
| 700 | 1 | |a Watanabe, Toyohide |e Sonstige |4 oth | |
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| 830 | 0 | |a Studies in computational intelligence |v 376 |w (DE-604)BV020822171 |9 376 | |
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Datensatz im Suchindex
| _version_ | 1805145732301193216 |
|---|---|
| adam_text |
IMAGE 1
CONTENTS
CHAPTER 1 ADVANCES IN INFORMATION PROCESSING PARADIGMS 1
JEFFREY TWEEDALE, LAKHMI JAIN 1 INTRODUCTION 2
1.1 ADVANCED INFORMATION PROCESSING TECHNOLOGY 3
1.2 KNOWLEDGE REPRESENTATION 4
1.3 DECISION SUPPORT SYSTEMS 6
1.4 AI IN DECISION MAKING 7
2 CHAPTERS INCLUDED IN THE BOOK 11
3 CONCLUSION 12
REFERENCES 13
CHAPTER 2
THE EXTRACTION OF FIGURE-RELATED SENTENCES TO EFFECTIVELY UNDERSTAND
FIGURES 19
RYO TAKESHIMA, TOYOHIDE WATANABE 1 INTRODUCTION 19
2 APPROACH 20
3 METHOD 23
3.1 CALCULATION OF INITIAL WEIGHT 23
3.2 CALCULATION OF WORD IMPORTANCE 25
3.3 UPDATE OF SENTENCE WEIGHT 25
3.4 EXTRACTION OF FIGURE-RELATED EXPLANATION SENTENCES . . . 25 4
PROTOTYPE SYSTEM 26
5 EXPERIMENT 28
6 CONCLUSION 30
REFERENCES 30
CHAPTER 3
ALIGNMENT-BASED TRANSLATION UNIT FOR SIMULTANEOUS JAPANESE-ENGLISH
SPOKEN DIALOGUE TRANSLATION 33
KOICHIRO RYU, SHIGEKI MATSUBARA, YASUYOSHI INAGAKI 1 INTRODUCTION 33
2 TRANSLATION UNIT FOR SIMULTANEOUS TRANSLATION SYSTEM 34
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1013511514
DIGITALISIERT DURCH
IMAGE 2
VIII CONTENTS
2.1 SIMULTANEOUS TRANSLATION UNIT 34
2.2 COMPARING WITH LINGUISTIC UNIT 35
3 ALIGNMENT-BASED TRANSLATION UNIT AND ITS ANALYSIS 36
3.1 ALIGNMENT-BASED TRANSLATION UNIT 36
3.2 CONSTRUCTION OF THE ATU CORPUS 37
3.3 LENGTH OF ATU 38
4 DETECTION OF ATUS 38
4.1 ANALYSIS OF ATUS 38
4.2 METHOD OF DETECTING 41
4.3 EXPERIMENT 41
5 CONCLUSION 43
REFERENCES 43
CHAPTER 4
AUTOMATIC COLLECTION OF USEFUL PHRASES FOR ENGLISH ACADEMIC WRITING 45
SHUNSUKE KOZAWA, YUTA SAKAI, KENJI SUGIKI, SHIGEKI MATSUBARA 1
INTRODUCTION 45
2 CHARACTERISTICS OF PHRASAL EXPRESSION 46
2.1 UNIT OF PHRASAL EXPRESSION 47
2.2 PHRASAL SIGN 47
2.3 STATISTICAL CHARACTERISTICS 47
2.4 SYNTACTIC CONSTRAINTS 48
3 ACQUISITION OF PHRASAL EXPRESSION 48
3.1 PHRASAL EXPRESSION IDENTIFICATION BASED ON STATISTICAL
CHARACTERISTICS 48
3.2 PHRASAL EXPRESSION IDENTIFICATION BASED ON SYNTACTIC CONSTRAINTS 49
4 CLASSIFICATION OF PHRASAL EXPRESSIONS 50
4.1 STRUCTURING RESEARCH PAPERS 51
4.2 SECTION CLASS IDENTIFICATION 51
4.3 PHRASAL EXPRESSION CLASSIFICATION BASED ON LOCALITY . . . 51 5
EXPERIMENTS 52
5.1 EXPERIMENT ON PHRASAL EXPRESSION ACQUISITION 52
5.2 EXPERIMENT ON PHRASAL EXPRESSION CLASSIFICATION 54
6 PHRASAL EXPRESSION SEARCH SYSTEM 56
7 CONCLUSION 58
REFERENCES 58
CHAPTER 5
AN EFFECTIVELY FOCUSED CRAWLING SYSTEM 61
YUKI UEMURA, TSUYOSHI ITOKAWA, TERUAKI KITASUKA, MASAYOSHI ARITSUGI 1
INTRODUCTION 61
2 PERSONALIZED PAGERANK FOR FOCUSING ON A TOPIC 63
IMAGE 3
CONTENTS IX
3 PRIORITIZATION 64
4 CRAWLING ALGORITHM 65
5 EXPERIMENTS 67
5.1 ENVIRONMENT 67
5.2 RESULTS 69
6 CONCLUSION 73
REFERENCES 74
CHAPTER 6
WEB-PAGES RE-RANKING, BASED ON RELEVANT/IRRELEVANT FEEDBACK INFORMATION
77
TOYOHIDE WATANABE, KENJI MATSUOKA 1 INTRODUCTION 77
2 APPROACH 78
3 RE-RANKING BASED ON FEEDBACK 79
3.1 RETRIEVED RESULTS AND LEXICAL ANALYSIS 79
3.2 EXTRACTION OF INDEX KEYWORDS 80
3.3 FEATURE VECTOR IN PAGE 81
3.4 CALCULATION OF EVALUATION CRITERION 82
3.5 SCORE COMPUTATION AND RE-RANKING OF RETRIEVED RESULT 83
3.6 QUERY MODIFICATION 84
4 EXPERIMENT AND EVALUATION 85
4.1 EVALUATION IN RE-RANKING METHOD 85
4.2 EVALUATION IN QUERY MODIFICATION 88
5 CONCLUSION 89
REFERENCES 89
CHAPTER 7
APPROXIMATELY SEARCHING AGGREGATE K-NEAREST NEIGHBORS ON REMOTE SPATIAL
DATABASES USING REPRESENTATIVE QUERY POINTS 91
HIDEKI SATO 1 INTRODUCTION 91
2 PRELIMINARIES 93
2.1 AGGREGATE K-NEAREST NEIGHBOR QUERIES 93
2.2 PROBLEM IN ANSWERING K-ANN QUERIES 93
3 PROCEDURE FOR ANSWERING K-ANN QUERIES 95
3.1 AGGREGATE DISTANCE FUNCTION 95
3.2 PROCESSING SCHEME USING REPRESENTATIVE QUERY POINT AND K-NN QUERY 96
4 EXPERIMENTAL ACCURACY EVALUATION 97
4.1 PRECISION EVALUATION ON REPRESENTATIVE QUERY POINTS . . 97 4.2
PRECISION EVALUATION ON SKEWED DATA 98
4.3 PRECISION EVALUATION USING REAL DATA 99
IMAGE 4
X CONTENTS
5 RELATED WORK 100
6 CONCLUSION 100
REFERENCES 101
CHAPTER 8
DESIGN AND IMPLEMENTATION OF A CONTEXT-AWARE GUIDE APPLICATION
"KAGURAZAKA EXPLORER" 103
YUICHI OMORI, JIAQI WAN, MIKIO HASEGAWA 1 INTRODUCTION 103
2 A CONTEXT-AWARE GUIDE SYSTEM WITH A MACHINE LEARNING ALGORITHM 105
3 CONTEXT-AWARE SVM WITH PRINCIPAL COMPONENT ANALYSIS 106 4 DESIGN AND
IMPLEMENTATION 108
4.1 DESIGN OF PROPOSED SYSTEM 108
4.2 IMPLEMENTATION OF A CONTEXT-AWARE GUIDE APPLICATION: KAGURAZAKA
EXPLORER 109
5 EXPERIMENTS 109
5.1 EXPERIMENTS FOR SELECTING EFFECTIVE FEATURE PARAMETERS 109
5.2 EFFECTIVENESS OF THE PCA FOR THE PROPOSED SYSTEM I LL 6 CONCLUSION
113
REFERENCES 114
CHAPTER 9
HUMAN MOTION RETRIEVAL SYSTEM BASED ON LMA FEATURES USING INTERACTIVE
EVOLUTIONARY COMPUTATION METHOD 117 SEIJI OKAJIMA, YUKI WAKAYAMA,
YOSHIHIRO OKADA 1 INTRODUCTION 117
2 INTERACTIVE EVOLUTIONARY COMPUTATION AND LABAN MOVEMENT ANALYSIS 118
2.1 IEC METHOD BASED ON GA 118
2.2 LABAN MOVEMENT ANALYSIS 119
3 RELATED WORK 120
4 MOTION FEATURES USING LABAN MOVEMENT ANALYSIS 120
4.1 LMA-BASED MOTION FEATURES 121
4.2 GENE REPRESENTATION 122
4.3 VISUALIZATION AND ANALYSIS 123
4.4 GENETIC OPERATIONS 123
5 MOTION RETRIEVAL SYSTEM 125
5.1 SYSTEM OVERVIEW 125
5.2 EXPERIMENTAL RESULTS 126
6 CONCLUSION AND REMARKS 129
REFERENCES 129
IMAGE 5
CONTENTS XI
CHAPTER 10
AN EXHIBIT RECOMMENDATION SYSTEM BASED ON SEMANTIC NETWORKS FOR MUSEUM
131
CHIHIRO MAEHARA, KOTARO YATSUGI, DAEWOONG KIM, TAKETOSHI USHIAMA 1
INTRODUCTION 131
2 RELATED WORKS 132
3 SEMANTIC NETWORK ON EXHIBITS 133
4 RECOMMENDATION OF EXHIBITS 134
5 EXHIBIT RECOMMENDATION SYSTEM 136
5.1 OVERVIEW OF THE SYSTEM 136
5.2 PROTOTYPE SYSTEM 136
6 EVALUATION 137
6.1 EXPERIMENT 137
6.2 DISCUSSION 138
7 CONCLUSION 140
REFERENCES 140
CHAPTER 11
PRESENTATION BASED META-LEARNING ENVIRONMENT BY FACILITATING THINKING
BETWEEN LINES: A MODEL BASED APPROACH 143
KAZUHISA SETA, MITSURU IKEDA 1 INTRODUCTION 144
2 UNDERLYING PHILOSOPHY 145
3 BUILDING A META-LEARNING PROCESS MODEL 146
3.1 STRUCTURE OF META-LEARNING TASKS 146
3.2 META-LEARNING PROCESS MODEL 147
3.3 FACTORS OF DIFFICULTY IN PERFORMING META-LEARNING ACTIVITIES 149
4 DESIGN CONCEPTS FOR META-LEARNING SUPPORT SCHEME 150 5 MODEL BASED
DEVELOPMENT OF PRESENTATION BASED META-LEARNING SUPPORT SYSTEM 152
5.1 TASK DESIGN TO FACILITATE META-LEARNING ACTIVITIES 152 5.2 LEARNING
SYSTEM DESIGN TO FACILITATE META-LEARNING ACTIVITIES 153
5.3 EMBEDDING SUPPORT FUNCTIONS TO FACILITATE META-LEARNING 155
6 EXPERIMENTS 158
6.1 OBJECTIVES AND METHODS 158
6.2 EXPERIMENTAL RESULTS AND ANALYSIS 159
7 RELATED WORKS 163
8 CONCLUDING REMARKS 164
REFERENCES 165
IMAGE 6
XII CONTENTS
CHAPTER 12
CASE-BASED REASONING APPROACH TO ADAPTIVE MODELLING IN EXPLORATORY
LEARNING 167
MIHAELA COCEA, SERGIO GUTIERREZ-SANTOS, GEORGE D. MAGOULAS 1
INTRODUCTION 167
2 MATHEMATICAL GENERALISATION WITH EXPRESSER 169
3 MODELLING LEARNERS' STRATEGIES USING CASE-BASED REASONING . . 171 3.1
KNOWLEDGE REPRESENTATION 173
3.2 SIMILARITY METRICS 175
4 ADAPTATION OF THE KNOWLEDGE BASE 176
4.1 ACQUIRING INEFFICIENT SIMPLE CASES 177
4.2 NEW STRATEGY ACQUISITION 179
5 VALIDATION 180
6 CONCLUSIONS 182
REFERENCES 183
CHAPTER 13
DISCUSSION SUPPORT SYSTEM FOR UNDERSTANDING RESEARCH PAPERS BASED ON
TOPIC VISUALIZATION 185
MASATO AOKI, YUKI HAYASHI, TOMOKO KOJIRI, TOYOHIDE WATANABE 1
INTRODUCTION 185
2 RELATED WORK 187
3 APPROACH 188
4 TOPIC VISUALIZATION METHOD 190
4.1 EXTRACTION OF KEYWORDS IN SECTION 190
4.2 EXPRESSION OF SIMILARITY BETWEEN TOPIC AND SECTION 191 4.3
EXPRESSION OF SIMILARITY AMONG TOPICS 192
5 PROTOTYPE SYSTEM 193
6 EXPERIMENT 195
6.1 EXPERIMENT OF EXTRACTING KEYWORDS 195
6.2 EXPERIMENTAL SETTING OF USING SYSTEM 196
6.3 EXPERIMENTAL RESULTS OF USING SYSTEM 197
7 CONCLUSION 200
REFERENCES 200
CHAPTER 14
THE PROPOSAL OF THE SYSTEM THAT RECOMMENDS E-LEARNING COURSES MATCHING
THE LEARNING STYLES OF THE LEARNERS 203 KAZUNORI NISHINO, TOSHIFUMI
SHIMODA, YURIE IRIBE, SHINJI MIZUNO, KUMIKO AOKI, YOSHIMI FUKUMURA
1 INTRODUCTION 203
2 FLEXIBILITY OF LEARNING STYLES AND LEARNING PREFERENCES 204 2.1
FLEXIBILITY OF LEARNING STYLES 204
2.2 ASYNCHRONOUS LEARNING AND THE USE OF ICT 204
IMAGE 7
CONTENTS XIII
3 SURVEY ON LEARNING PREFERENCES AND E-LEARNING COURSE ADAPTABILITY 205
3.1 SURVEY ON LEARNING PREFERENCES 205
3.2 THE SURVEY ON E-LEARNING COURSE ADAPTABILITY 206
3.3 CORRELATIONS 207
3.4 MULTIPLE REGRESSION ANALYSIS 207
4 ESTIMATION OF E-LEARNING COURSE ADAPTABILITY 208
4.1 CHANGES IN LEARNING PREFERENCES 208
4.2 ESTIMATION OF E-LEARNING COURSE ADAPTABILITY THROUGH MULTIPLE
REGRESSION ANALYSES 209
4.3 DEVELOPMENT OF A SYSTEM TO RECOMMEND E-LEARNING COURSES SUITABLE TO
A STUDENT 210
5 CONCLUSION 212
REFERENCES 212
APPENDIX 1: THE LEARNING PREFERENCE QUESTIONNAIRE 214
CHAPTER 15
DESIGN OF THE COMMUNITY SITE FOR SUPPORTING MULTIPLE MOTOR-SKILL
DEVELOPMENT 215
KENJI MATSUURA, NAKA GOTODA, TETSUSHI VETA, YONEO YANO 1 INTRODUCTION
215
2 MOTOR-SKILL LEARNING 216
2.1 PRELIMINARY DISCUSSION 216
2.2 OPEN AND CLOSED SKILL 217
2.3 MEDIA TYPE 217
2.4 PROCESS OF A SKILL DEVELOPMENT 218
3 DESIGN AND DEVELOPMENT 219
3.1 FRAMEWORK OF THE ARCHITECTURE 219
3.2 AUTHORING ENVIRONMENT ON THE WEB 220
3.3 DISPLAYING ENVIRONMENT 221
4 TRIAL USE 222
4.1 ORGANIZATION OF PARTICIPANTS 222
4.2 FINDINGS 222
5 SUMMARY AND FUTURE IMPLICATIONS 223
REFERENCES 224
CHAPTER 16
COMMUNITY SIZE ESTIMATION OF INTERNET FORUM BY POSTED ARTICLE
DISTRIBUTION 225
MASAO KUBO, KEITARO NARUSE, HIROSHI SATO 1 INTRODUCTION 225
2 CHARACTERISTICS OF THE POSTING ACTIVITY OF AN INTERNET FORUM . . 227
2.1 THE DATA SOURCE 227
2.2 CHARACTERISTICS OF THE POSTING ACTIVITY 227
IMAGE 8
XIV CONTENTS
2.3 PREFERENTIAL ATTACHMENT AS A GENERATING MECHANISM OF THE
POWER-LAW-LIKE TREND OF AN INTERNET FORUM'S POSTING ACTIVITY 228
3 THE PROPOSED METHOD 229
3.1 THE COMMUNITY MODEL 229
3.2 THE PROPOSED COMMUNITY POPULATION ESTIMATION METHODS 230
4 EXPERIMENTS 233
4.1 CORRELATION OF THE NUMBER OF ACCESS COUNTS IN A WEB SERVER LOG 234
4.2 CORRELATION WITH VIEWING RATE AND THE ESTIMATED POPULATION OF AN
INTERNET FORUM RELATED TO A TV DRAMA 235
5 CONCLUSION 238
REFERENCES 238
CHAPTER 17
A DESIGN OF LIGHTWEIGHT REPROGRAMMING FOR WIRELESS SENSOR NETWORKS 241
AOI HASHIZUME, HIROSHI MINENO, TADANORI MIZUNO 1 INTRODUCTION 241
2 REPROGRAMMING IN SENSOR NETWORKS 242
3 PROPOSED REPROGRAMMING SCHEME 243
3.1 TARGETED ENVIRONMENT 243
3.2 DESIGN AND IMPLEMENTATION 244
3.3 MESSAGE FORMAT 245
3.4 REPROGRAMMING ALGORITHM 246
4 EXPERIMENTAL RESULTS 248
5 CONCLUSION 248
REFERENCES 249
CHAPTER 18
SIMULATION EVALUATION FOR TRAFFIC SIGNAL CONTROL BASED ON EXPECTED
TRAFFIC CONGESTION BY AVENUE 251
NAOTO MUKAI, HIROYASU EZAWA 1 INTRODUCTION 251
2 DEFINITION OF EXPECTED TRAFFIC CONGESTION 253
2.1 REPRESENTATION OF PATH 253
2.2 EXPECTED TRAFFIC CONGESTION 253
3 TRAFFIC SIGNAL MODEL 254
3.1 SIGNAL INDICATION PHASES 254
3.2 TRAFFIC SIGNAL PARAMETERS 254
IMAGE 9
CONTENTS XV
4 TRAFFIC SIGNAL CONTROL BASED ON EXPECTED TRAFFIC CONGESTION . . 256
4.1 CYCLE CONTROL 256
4.2 SPLIT CONTROL 257
4.3 OFFSET CONTROL 257
5 SIMULATION EXPERIMENTS 258
5.1 TRAFFIC ENVIRONMENT 258
5.2 CYCLE&SPLIT EVALUATION 259
5.3 OFFSET EVALUATION 260
6 CONCLUSION 261
REFERENCES 262
CHAPTER 19
A COMPARATIVE STUDY ON COMMUNICATION PROTOCOLS IN DISASTER AREAS WITH
VIRTUAL DISASTER SIMULATION SYSTEMS 265 KOICHI ASAKURA, TOYOHIDE
WATANABE 1 INTRODUCTION 265
2 PRELIMINARIES 266
2.1 AD-HOC UNICURSAL PROTOCOL 266
2.2 MOVEMENT OF REFUGEES 267
3 VIRTUAL DISASTER AREAS 268
3.1 HAZARD MAPS 268
3.2 INFORMATION ON BUILDINGS 269
3.3 REQUIREMENTS 269
3.4 RELATED WORK 270
4 ALGORITHMS 271
4.1 DATA MODEL 271
4.2 CALCULATION METHODS 271
5 EXPERIMENTS 274
5.1 SIMULATION SETTINGS 275
5.2 COMMUNICATION PROTOCOLS 275
5.3 EXPERIMENTAL CONDITION 275
5.4 EXPERIMENTAL RESULTS 276
6 CONCLUSION 278
REFERENCES 278
AUTHOR INDEX 281 |
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| isbn | 9783642231896 3642231896 |
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| physical | XV, 279 S. Ill., graph. Darst. |
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| series2 | Studies in computational intelligence |
| spelling | Innovations in intelligent machines 2 Intelligent paradigms and applications Toyohide Watanabe ... (eds.) Berlin [u.a.] Springer 2012 XV, 279 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 376 Studies in computational intelligence ... Watanabe, Toyohide Sonstige oth (DE-604)BV039760713 2 Studies in computational intelligence 376 (DE-604)BV020822171 376 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3853562&prov=M&dok%5Fvar=1&dok%5Fext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024621971&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Innovations in intelligent machines Studies in computational intelligence |
| title | Innovations in intelligent machines |
| title_auth | Innovations in intelligent machines |
| title_exact_search | Innovations in intelligent machines |
| title_full | Innovations in intelligent machines 2 Intelligent paradigms and applications Toyohide Watanabe ... (eds.) |
| title_fullStr | Innovations in intelligent machines 2 Intelligent paradigms and applications Toyohide Watanabe ... (eds.) |
| title_full_unstemmed | Innovations in intelligent machines 2 Intelligent paradigms and applications Toyohide Watanabe ... (eds.) |
| title_short | Innovations in intelligent machines |
| title_sort | innovations in intelligent machines intelligent paradigms and applications |
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