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Michalski, R.S. (1983) A Theory and Methodology of Inductive Learning, in Machine Learning --- An Artificial Intelligence Approach, Vol. I, Los Altos, CA:Morgan Kaufman, 83-134.

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A Polynomial Approach to the - Constructive Induction Of   (Correct)

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Michalski, R.S. (1983) A Theory and Methodology of Inductive Learning, in Machine Learning --- An Artificial Intelligence Approach, Vol. I, Los Altos, CA:Morgan Kaufman, 83-134.


A Hybrid Approach to Feature Selection and.. - , Klinkenberg.. (2002)   (4 citations)  (Correct)

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R. S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Arti cial Intelligence Approach, volume 1, chapter 4, pages 83-134. Morgan Kaufmann, Palo Alto, CA, USA, 1983.


Inferring Rule-Based Strategies in Dynamic Judgment Tasks.. - Rothrock, Kirlik (2003)   (Correct)

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R. S. Michalski, "A theory and methodology of inductive learning," in Machine Learning: An Artificial Intelligence Approach, R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, Eds. Palo Alto, CA: Tioga, 1983.


An Integrated Framework for Learning and Reasoning - Giraud-Carrier, Martinez (1995)   (Correct)

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Michalski, R. #1983#. A theory and methodology of inductive learning. Arti#cial Intelligence, 20, 111#161.


Strongly Typed Evolutionary Programming - Kennedy (1999)   (1 citation)  (Correct)

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Michalski, R.S. #1983#. A theory and methodology of inductive learning. Arti#cial Intelligence 20, 111#161.


Computational Intelligence Methods for Rule-Based Data.. - Duch, Setiono, Zurada (2004)   (Correct)

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R. Michalski, "A theory and methodology of inductive learning," Artif. Intell., vol. 20, pp. 111--161, 1983.


Multistrategy Operators for Relational Learning.. - Esposito.. (2006)   (Correct)

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Michalski, R.: A Theory and Methodology of Inductive Learning, in: Machine Learning: an artificial intelligence approach (R. Michalski, J. Carbonell, T. Mitchell, Eds.), vol. I, Morgan Kaufmann, San Mateo, CA, 1983, 83--134.


On Sets of Terms: - Study Of Generalisation   (Correct)

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R.S. Michalski, "A theory and Methodology of Inductive Learning". Artificial Intelligence 20, pp 111161, 1983.


Internal Representations of Multi-Layered Perceptrons - Aw   (Correct)

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R. Michalski. A theory and methodology of inductive learning. Artificial Intelligence, 20:111--161, 1983.


Systemic Inheritance - Antonio Bahamonde Centro (1992)   (Correct)

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Michalski, R.S.: "A Theory and Methodology of Inductive Learning", in [ML-Vol I], 83134.


Incremental Induction of Decision Trees - Utgoff (1989)   (78 citations)  (Correct)

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Michalski, R. S. (1983). A theory and methodology of inductive learning (pp. 83-134). In Michalski, Carbonell & Mitchell (Eds.), Machine learning: An artificial intelligence approach. San Mateo, CA: Morgan Kaufmann.


Systemic Inheritance - Antonio Bahamonde Centro (1992)   (Correct)

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Michalski, R.S.: "A Theory and Methodology of Inductive Learning", in [ML-Vol I], 83134.


Different Learning Strategies in a Case-Based Reasoning System.. - Perner (1998)   (Correct)

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R.S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J.G. Carbonell, and T.M. Mitchell, (Eds.), Machine Learning: Artificial Intelligence Approach. Morgan Kaufmann, 1983.


A Hybrid Approach to Feature Selection and.. - Ritthoff.. (2002)   (4 citations)  (Correct)

No context found.

R. S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Arti cial Intelligence Approach, volume 1, chapter 4, pages 83-134. Morgan Kaufmann, Palo Alto, CA, USA, 1983.


What Should a Classifier System Learn? - Kovacs   (1 citation)  (Correct)

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Ryszard S. Michalski. A Theory and Methodology of Inductive Learning. In R. Michalski, J. Carbonell and T. Mitchell, (eds), Machine Learning. An Artificial Intelligence Approach, pages 83--134. Springer--Verlag, 1983.


CLIP4: Hybrid inductive machine learning algorithm that.. - Cios, Kurgan (2004)   (Correct)

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R.S. Michalski, A theory and methodology of inductive learning, in: R. Michalski, J. Carbonell, T.M. Mitchell (Eds.), Machine Learning, Tioga Press, 1983.


Learning Recursive Theories in the Normal ILP Setting - Malerba (2003)   (1 citation)  (Correct)

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Michalski, R.: A theory and methodology of inductive learning, in: Machine Learning - An Artificial Intelligence Approach (R. Michalski, J. Carbonell, T. Mitchell, Eds.), Tioga Publishing Co., Palo Alto, CA, 1983, 83--133.


Exploring Changes of Representation to Improve Inductive.. - Eduardo Erez Inform   (Correct)

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R. S. Michalski. A theory and methodology of inductive learning. In Machine Learning: An Arti cial Intelligence Approach, chapter 1, pp. 83-134. Tioga Publishing Co., Palo Alto, CA, 1983.


Local Attribute Value Grouping for Lazy Rule Induction - Gora, Wojna   (Correct)

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Michalski, R.S. (1983). A theory and methodology of inductive learning. Arti cial Intelligence, 20, pp. 111-161.


Inclusive pruning: A new class of pruning rule for unordered.. - Webb (1996)   (2 citations)  (Correct)

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Ryszard S. Michalski. A theory and methodology of inductive learning. In Ryszard S. Michalski, Jaime G. Carbonell and Tom M. Mitchell (editors), Machine Learning: An Artificial Intelligence Approach, pages 83--129. Springer-Verlag, Berlin, 1983.


A Hybrid Approach to Feature Selection and.. - Ritthoff.. (2002)   (4 citations)  (Correct)

No context found.

R. S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Arti cial Intelligence Approach, volume 1, chapter 4, pages 83-134. Morgan Kaufmann, Palo Alto, CA, USA, 1983.


Statistically Sound Exploratory Rule Discovery - Webb   (Correct)

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R. S. Michalski. A theory and methodology of inductive learning. In R. S. Michalski, J. G. Carbonell, and T. M. Mitchell, editors, Machine Learning: An Artificial Intelligence Approach, pages 83--129. Springer-Verlag, Berlin, 1983.


RIONA: A New Classification System Combining Rule Induction and .. - Gora, Wojna (2002)   (Correct)

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Michalski, R.S. (1983). A theory and methodology of inductive learning. Artificial Intelligence, 20, pages 111-161.


Nonmonotonic Inductive Logic Programming - Sakama   (Correct)

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R. S. Michalski. A theory and methodology of inductive learning. Artificial Intelligence 20:111-161, 1983.


Computational Intelligence Methods for Rule-Based Data.. - Duch, Setiono, Zurada (2004)   (Correct)

No context found.

R. Michalski, "A theory and methodology of inductive learning," Artif. Intell., vol. 20, pp. 111--161, 1983.

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