The automatic generation of expert systems using machine learning コンピュータ学習による知識習得ツールに関する基礎的研究
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著者
書誌事項
- タイトル
-
The automatic generation of expert systems using machine learning
- タイトル別名
-
コンピュータ学習による知識習得ツールに関する基礎的研究
- 著者名
-
Ross Peter Clement
- 著者別名
-
ロス ピーター クレメント
- 学位授与大学
-
豊橋技術科学大学
- 取得学位
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工学博士
- 学位授与番号
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甲第47号
- 学位授与年月日
-
1991-03-31
注記・抄録
博士論文
目次
- CONTENTS / p8 (0009.jp2)
- ABSTRACT / p2 (0003.jp2)
- JAPANESE ABSTRACT / p4 (0005.jp2)
- ACKNOWLEDGEMENTS / p6 (0007.jp2)
- QUOTE / p7 (0008.jp2)
- CONTENTS / p8 (0009.jp2)
- INTRODUCTION TO EXPERT SYSTEMS AND MACHINE LEARNING / I-1 / (0014.jp2)
- 1 EXPERT SYSTEMS CONCEPTS / I-1 / (0014.jp2)
- 1.1 EXPERT SYSTEMS AS A PROGRAMMING METHODOLOGY / I-1 / (0014.jp2)
- 1.2 RULES / I-2 / (0015.jp2)
- 1.3 THE REASONING ENGINE / I-5 / (0018.jp2)
- 1.4 ADVANTAGES OF EXPERT SYSTEMS / I-7 / (0020.jp2)
- 1.5 PROBLEMS IN CREATING EXPERT SYSTEMS / I-7 / (0020.jp2)
- 1.6 ALTERNATIVE METHODS FOR CREATING EXPERT SYSTEMS / I-9 / (0022.jp2)
- 2 MACHINE LEARNING CONCEPTS / I-10 / (0023.jp2)
- 2.1 LEARNING FROM EXAMPLES / I-10 / (0023.jp2)
- 2.2 LEARNING EXPERT SYSTEMS FROM TRAINING INSTANCES / I-12 / (0025.jp2)
- 2.3 INDUCTIVE LEARNING ALGORITHMS / I-17 / (0030.jp2)
- 3 FINAL WORD / I-22 / (0035.jp2)
- CHAPTER1:INTRODUCTION TO THIS THESIS / p1 (0036.jp2)
- 1.1 INTRODUCTION / p1 (0036.jp2)
- 1.2 KNOWLEDGE ACQUISITION / p1 (0036.jp2)
- 1.3 KNOWLEDGE ACQUISITION USING MACHINE LEARNING / p3 (0038.jp2)
- 1.4 THE KA PROCESS USING ML / p4 (0039.jp2)
- 1.5 PROBLEMS WITH CURRENT TECHNOLOGY / p5 (0040.jp2)
- 1.6 NEW TECHNOLOGY / p7 (0042.jp2)
- 1.7 OVERVIEW OF THIS THESIS / p8 (0043.jp2)
- CHAPTER2:THE BAMBOO ALGORITHM AND PARALLEL GENERALISATION / p9 (0044.jp2)
- 2.1 MACHINE LEARNING FOR REAL PROBLEMS / p9 (0044.jp2)
- 2.2 THE INDUCTION OF DECISION TREES / p10 (0045.jp2)
- 2.3 THE BAMBOO ALGORITHM / p15 (0050.jp2)
- 2.4 A COMPARISON OF BAMBOO AND C4 / p16 (0051.jp2)
- 2.5 PARALLEL GENERALISATION / p18 (0053.jp2)
- 2.6 THE SOYBEAN EXPERIMENT / p21 (0056.jp2)
- 2.7 THE ARTIFICIAL DATA EXPERIMENT / p22 (0057.jp2)
- 2.8 INADEQUACIES OF THE PROGRAM / p23 (0058.jp2)
- 2.9 CONCLUSIONS / p23 (0058.jp2)
- CHAPTER3:PARALLEL AND SEQUENTIAL LAYERING OF LEARNING STRATEGIES WITHIN A SINGLE PROGRAM / p25 (0060.jp2)
- 3.1 INTRODUCTION / p25 (0060.jp2)
- 3.2 PARALLEL AND SEQUENTIAL LAYERED LEARNING / p30 (0065.jp2)
- 3.3 IMPLEMENTATION / p33 (0068.jp2)
- 3.4 EXPERIMENTATION AND RESULTS / p47 (0082.jp2)
- 3.5 CONCLUSIONS / p51 (0086.jp2)
- 3.6 FUTURE WORK / p51 (0086.jp2)
- CHAPTER4:AUTOMATIC KNOWLEDGE ACQUISITION FOR NON-CLASSIFICATION EXPERT SYSTEMS / p53 (0088.jp2)
- 4.1 INTRODUCTION / p53 (0088.jp2)
- 4.2 REEXAMINING CLASSIFIER SYSTEMS / p54 (0089.jp2)
- 4.3 MULTIPLE CLASSIFICATION / p55 (0090.jp2)
- 4.4 SYSTEMS THAT CHANGE OVER TIME / p58 (0093.jp2)
- 4.5 FUNCTIONAL GENERALISATION / p61 (0096.jp2)
- 4.6 IMPLEMENTATION AND RESULTS / p63 (0098.jp2)
- 4.7 CONCLUSIONS / p67 (0102.jp2)
- 4.8 FUTURE WORK / p68 (0103.jp2)
- CHAPTER5:HOW TO MAKE AN EXPERT SYSTEM THAT DOESNT HAVE ANY RULES / p69 (0104.jp2)
- 5.1 INTRODUCTION / p69 (0104.jp2)
- 5.2 BACKGROUND / p71 (0106.jp2)
- 5.3 BAMBOO SHELL / p72 (0107.jp2)
- 5.4 CONCLUSIONS / p84 (0119.jp2)
- 5.5 FUTURE WORK / p85 (0120.jp2)
- CHAPTER6:THE AUTOMATIC GENERATION OF UNCERTAIN REASONING EXPERT SYSTEMS / p85 (0121.jp2)
- 6.1 NON-DETERMINISTIC DOMAINS / p85 (0121.jp2)
- 6.2 HUMAN REASONING IN NON-DETERMINISTIC DOMAINS / p86 (0122.jp2)
- 6.3 UNCERTAIN REASONING EXPERT SYSTEMS / p87 (0123.jp2)
- 6.4 GENERATING UNCERTAIN REASONING EXPERT SYSTEMS / p89 (0125.jp2)
- 6.5 NEW HEURISTICS FOR UNCERTAIN REASONING / p94 (0130.jp2)
- 6.6 THE SELECT PROCEDURE / p99 (0135.jp2)
- 6.7 CONCLUSIONS / p99 (0135.jp2)
- CHAPTER7:LEARNING EXPERT SYSTEMS BY BEING CORRECTED / p101 (0137.jp2)
- 7.1 INTRODUCTION / p101 (0137.jp2)
- 7.2 LEARNING FROM EXAMPLES / p103 (0139.jp2)
- 7.3 LEARNING FROM GENERAL/SPECIFIC INFORMATION / p105 (0141.jp2)
- 7.4 KABCO:LEARNING BY BEING CORRECTED / p107 (0143.jp2)
- 7.5 KABCO AND MACHINE LEARNING PROGRAMS / p118 (0154.jp2)
- 7.6 KABCO AND KNOWLEDGE EDITORS / p119 (0155.jp2)
- 7.7 ACTUAL USE OF KABCO / p120 (0156.jp2)
- 7.8 LIMITATIONS OF KABCO / p123 (0159.jp2)
- 7.9 FUTURE WORK / p125 (0161.jp2)
- 7.10 CONCLUSIONS / p127 (0163.jp2)
- CHAPTER8:SUMMARY,CONCLUSIONS,& FUTURE WORK / p128 (0164.jp2)
- 8.1 SUMMARY / p128 (0164.jp2)
- 8.2 CONCLUSIONS / p129 (0165.jp2)
- 8.3 FUTURE WORK / p130 (0166.jp2)
- 8.4 FINAL WORD / p133 (0169.jp2)
- BIBLIOGRAPHY / (0170.jp2)