| Description |
1 online resource (xiv, 591 pages) : illustrations |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Bibliography |
Includes bibliographical references and index. |
| Access |
Use copy Restrictions unspecified star MiAaHDL |
| Reproduction |
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL |
| System Details |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
| Processing Action |
digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
| Note |
Print version record. |
| Contents |
Front Cover; Machine Learning; Copyright Page; Table of Contents; Preface; Advisory Committee; Program Committee; Auxiliary Reviewers; Workshops; Tutorials; PART 1: CONTRIBUTED PAPERS; Chapter 1. On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms; ABSTRACT; 1 Introduction; 2 On-line Learning Model for Binary Relations; 3 Two-dimensional Weighted Majority Prediction Algorithms; 4 Experimental Results; 5 Theoretical Performance Analysis; 6 Concluding Remarks; Acknowledgement; References |
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Chapter 2. On Handling Tree-Structured Attributes in Decision Tree LearningAbstract; 1 Introduction; 2 Decision Trees With Tree-Structured Attributes; 3 Pre-processing Approaches; 4 A Direct Approach; 5 Analytical Comparison; 6 Experimental Comparison; 7 Summary and Conclusion; Acknowledgement; References; Chapter 3. Theory and Applications of Agnostic PAC-Learning with Small Decision Trees; Abstract; 1 INTRODUCTION; 2 THE AGNOSTIC PAC-LEARNING ALGORITHM T2; 3 EVALUATION OF T2 ON ""REAL-WORLD"" CLASSIFICATION PROBLEMS; 4 LEARNING CURVES FOR DECISION TREES OF SMALL DEPTH; 5 CONCLUSION |
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AcknowledgementReferences; Chapter 4. Residual Algorithms: Reinforcement Learning with Function Approximation; ABSTRACT; 1 INTRODUCTION; 2 ALGORITHMS FOR LOOKUP TABLES; 3 DIRECT ALGORITHMS; 4 RESIDUAL GRADIENT ALGORITHMS; 5 RESIDUAL ALGORITHMS; 6 STOCHASTIC MDPS AND MODELS; 7 MDPS WITH MULTIPLE ACTIONS; 8 RESIDUAL ALGORITHM SUMMARY; 9 SIMULATION RESULTS; 10 CONCLUSIONS; Acknowledgments; References; Chapter 5. Removing the Genetics from the Standard Genetic Algorithm; Abstract; 1. THE GENETIC ALGORITHM (GA); 2. FOUR PEAKS: A PROBLEM DESIGNED TO BE GA-FRIENDLY; 3. SELECTING THE GA'S PARAMETERS |
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4. POPULATION-BASED INCREMENTAL LEARNING5. EMPIRICAL ANALYSIS ON THE FOUR PEAKS PROBLEM; 6. DISCUSSION; 7. CONCLUSIONS; ACKNOWLEDGEMENTS; REFERENCES; Chapter 6. Inductive Learning of Reactive Action Models; Abstract; 1 INTRODUCTION; 2 CONTEXT OF THE LEARNER; 3 ACTIONS AND TELEO-OPERATORS; 4 COLLECTING INSTANCES FOR LEARNING; 5 THE INDUCTIVE LOGIC PROGRAMMING ALGORITHM; 6 EVALUATION; 7 RELATED WORK; 8 FUTURE WORK; Acknowledgements; References; Chapter 7. Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network; Abstract; 1 INTRODUCTION; 2 INCREMENTAL GRID GROWING |
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3 COMPARISON USING MINIMUM SPANNING TREEDATA4 DEMONSTRATION USING REALWORLD SEMANTIC DATA; 5 DISCUSSION AND FUTURE WORK; 6 CONCLUSION; References; Chapter 8. Empirical support for Winnow and Weighted-Majority based algorithms: results on a calendar scheduling domain; Abstract; 1 Introduction; 2 The learning problem; 3 Description of the algorithms; 4 Experimental results; 5 Theoretical results; Acknowledgements; References; Appendix; Chapter 9. Automatic Selection of Split Criterion during Tree Growing Based on Node Location; Abstract; 1 DECISION TREE CONSTRUCTION |
| Summary |
Machine Learning Proceedings 1995. |
| Language |
English. |
| Subject |
Machine learning -- Congresses.
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Apprentissage automatique -- Congrès.
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Machine learning
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Machine-learning.
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Apprentissage automatique -- Congrès.
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| Genre/Form |
Congress |
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Added Author |
Prieditis, Armand.
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Russell, Stuart J. (Stuart Jonathan), 1962-
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| Other Form: |
Print version: International Conference on Machine Learning (12th : 1995 : Tahoe City, Calif.). Machine learning. San Francisco, CA : Morgan Kaufmann Publishers, ©1995 (OCoLC)33065822 |
| ISBN |
1558603778 (electronic bk.) |
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9781558603776 (electronic bk.) |
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9781483298665 (e-book) |
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1483298663 |
| Standard No. |
NZ1 15917711 |
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