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Machine Intelligence 13: Machine Intelligence and Inductive Learning Book

Machine Intelligence 13: Machine Intelligence and Inductive Learning
Machine Intelligence 13: Machine Intelligence and Inductive Learning, Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni, Machine Intelligence 13: Machine Intelligence and Inductive Learning has a rating of 3.5 stars
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Machine Intelligence 13: Machine Intelligence and Inductive Learning, Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni, Machine Intelligence 13: Machine Intelligence and Inductive Learning
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  • Machine Intelligence 13: Machine Intelligence and Inductive Learning
  • Written by author Ksoichi Furukawa
  • Published by Oxford University Press, USA, October 1994
  • Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni
  • Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni
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Authors

1. Logic, Computers, Turing, and von Neumann
2. Logic and Learning: Turing's Legacy
3. A Generalization of the Least Generalization
4. The Justification of Logical Theories Based on Data Compression
5. Utilizing Structure Information in Concept Formation
6. The Discovery of Propositions in Noisy Data
7. Learning Non-deterministic Finite Automata from Queries and Counterexamples
8. Machine Learning and Biomolecular Modelling
9. More Than Meets the Eye: Animal Learning and Knowledge Induction
10. Regulation of Human Cognition and Its Growth
11. Large Heterogeneous Knowledge Basis
12. Learning Optimal Chess Strategies
13. A Comparative Study of Classification Algorithms
14. Recent Progress with BOXES
15. Building Symbolic Representations of Intuitive 0.00-Time Skills from Performance Data
16. Learning Perceptually Chunked Macro Operators
17. Inductively Speeding Up Logic Programs


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Machine Intelligence 13: Machine Intelligence and Inductive Learning, Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni, Machine Intelligence 13: Machine Intelligence and Inductive Learning

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Machine Intelligence 13: Machine Intelligence and Inductive Learning, Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni, Machine Intelligence 13: Machine Intelligence and Inductive Learning

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Machine Intelligence 13: Machine Intelligence and Inductive Learning, Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cogni, Machine Intelligence 13: Machine Intelligence and Inductive Learning

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