Communications of the ACM
Machine learning an artificial intelligence approach volume II
Machine learning an artificial intelligence approach volume II
Information Processing Letters
Quantifying inductive bias: AI learning algorithms and Valiant's learning framework
Artificial Intelligence
Rule induction with CN2: some recent improvements
EWSL-91 Proceedings of the European working session on learning on Machine learning
Constructive induction using a non-greedy strategy for feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Hypothesis-Driven Constructive Induction in AQ17-HCI: A Method and Experiments
Machine Learning - Special issue on evaluating and changing representation
Computational Complexity of Machine Learning
Computational Complexity of Machine Learning
Machine Learning
Machine Learning
BOUNDS ON THE SAMPLE COMPLEXITY OF BAYESIAN LEARNING USINGINFORMATION THEORY AND THE VC DIMENSION
BOUNDS ON THE SAMPLE COMPLEXITY OF BAYESIAN LEARNING USINGINFORMATION THEORY AND THE VC DIMENSION
Learning disjunction of conjunctions
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Indirect sensing through abstractive learning
Intelligent Data Analysis
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In constructive induction (CI), the learner‘s problemrepresentation is modified as a normal part of the learningprocess. This may be necessary if the initial representation isinadequate or inappropriate. However, the distinction betweenconstructive and non-constructive methods appears to be highlyambiguous. Several conventional definitions of the process ofconstructive induction appear to include all conceivable learningprocesses. In this paper I argue that the process of constructivelearning should be identified with that of relational learning(i.e., I suggest that what constructive learners really learn isrelationships) and I describe some of the possible benefitsthat might be obtained as a result of adopting this definition.