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14
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Induction over the unexplained: Using overly-general domain theories to aid concept learning
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140
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The Utility of Knowledge in Inductive Learning
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110
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Theory Refinement Combining Analytical and Empirical Methods
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6
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Grammatically Biased Learning: Learning Horn Theories Using an Explicit Antecedent Description Language
– William W. Cohen
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Learning Flexible Concepts Using A Two-Tiered Representation
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3
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Learning as Knowledge Integration
– Kenneth S. Murray
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Machine Learning: An Annotated Bibliography for the 1995 AI & . . .
– David W. Aha
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13
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Inductive Learning of Characteristic Concept Descriptions from Small Sets of Classified Examples
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22
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Student Modeling and Machine Learning
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Models and Moves The Role of Causal and Epistemic Complexity in Students ’ Understanding of Science
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1
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Can Being Scared Cause Tummy Aches? Naive Theories, Ambiguous Evidence, and Preschoolers ’ Causal Inferences
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2
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Use of Domain Knowledge in Constructive Induction
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95
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A theory of causal learning in children: Causal maps and Bayes nets
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Scientific Discovery in the Layperson
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35
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Integrating Inductive Neural Network Learning and Explanation-Based Learning
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- 1993
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43
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Learning Two-Tiered Descriptions of Flexible Concepts: The Poseidon Systems
– F. Bergadano, S. Matwin, R. S. Michalski, J. Zhang
- 1992
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13
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A computational theory of learning causal relationships
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11
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Schema Acquisition From a Single Example
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- 1992
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1
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Using data and theory in multistrategy (mis)concept(ion) discovery
– Raymund Sison, Masayuki Numao, Masamichi Shimura
- 1997
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