An experimental comparison of symbolic and connectionist learning algorithms (1989)


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by Raymond Mooney , Jude Shavlik
Venue:Proceedings of the Eleventh International Joint Conference on Artificial Intelligence
Citations:84 - 5 self

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99 Symbolic and neural learning algorithms: an experimental comparison – Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell - 1991
Comparing Learning Paridigms via Diagrammatic Visualization: A Case Study in Concept Learning Using Symbolic, Neural Net, and Genetic Algorithm Methods – J. Wnek, J. Sarma, A. Wahab, R. S. Michalski, Study Single, Concept Learning, Ashraf A. Wahab, Janusz Wnek, Janusz Wnek, Jayshree Sarma, Jayshree Sarma, Ashraf A. Wahab X, Ryszard S. Michalski, Ryszard S. Michalski - 1990
7 An Experimental Comparison of Symbolic Subsymbolic Learning Paradigms: Phase I - Learning Logic-Style Concepts – J. Wnek, R. S. Michalski, Janusz Wnek, Janusz Wnek, Ryszard S. Michalski, Ryszard S. Michalski - 1991
k. Results indicate that this procedure is very effective in estimating good feature weights (Table 4.8). Particularly the results obtained in the – Banded Sinusoidal Tasks - 1994
7 Constructing New Attributes for Decision Tree Learning – Zijian Zheng - 1996
1 Paradigms for Machine Learning – Jeffrey C. Schlimmer, Pat Langley - 1991
4 Scalability Of Machine Learning Algorithms – Georgios Paliouras - 1993
By – Georgios Paliouras - 1993
7 Dynamic Automatic Model Selection – Carla E. Brodley - 1992
160 Incremental Induction of Decision Trees – Paul Utgoff Utgoff - 1989
6 Feature Discovery for Inductive Concept Learning – Tom Fawcett - 1993
69 Extracting Comprehensible Models from Trained Neural Networks – W. Craven - 1996
7 Extracting Comprehensible Concept Representations from Trained Neural Networks – Mark W. Craven, Jude W. Shavlik - 1995
A Comparative Evaluation Of Symbolic Learning Methods and Neural Learning Methods – Shravya Reddy Konda
30 Generative Learning Structures and Processes for Generalized Connectionist Networks – Vasant Honavar, Leonard Uhr - 1991
82 A knowledge-intensive genetic algorithm for supervised learning – Cezary Z. Janikow - 1993
Stable Decision Trees: Using Local Anarchy for Efficient Incremental Learning – Dimitrios Kalles Athanasios, Athanasios Papagelis - 2000
1 Converting Identification Trees Into Nonmonotonic Inheritance Structures РAjit Narayanan, Björn Olsson - 1994
3 Rules generation from the decision tree – Ding-an Chiang, Wei Chen, Yi-fan Wang, Lain-jinn Hwang