Structured Concept Discovery: Theory and Methods (1994)

by Darrell Conklin
Citations:4 - 0 self

Active Bibliography

Student Modeling and Machine Learning – unknown authors
27 Student Modeling and Machine Learning – Raymund Sison , et al. - 1998
5 Concept Formation in WWTP by means of Classification Techniques: – Miquel Sànchez, Ulises Cortés, Javier Béjar, Joan de Gracia, Javier Lafuente, Manel Poch
13 Inductive Learning of Characteristic Concept Descriptions from Small Sets of Classified Examples – Werner Emde - 1994
42 Constructor: A system for the induction of probabilistic models – Robert M. Fung, Stuart L. Crawford - 1990
105 Iterative Optimization and Simplification of Hierarchical Clusterings – Doug Fisher - 1995
Learning Flexible Concepts Using A Two-Tiered Representation – R. S. Michalski, F. Bergadano, S. Matwin, J. Zhang - 1993
52 Concept Formation in Structured Domains – Kevin Thompson, Pat Langley - 1991
57 Substructure discovery in the SUBDUE system – Lawrence B. Holder, Diane J. Cook, Surnjani Djoko - 1994
18 Machine Discovery Of Protein Motifs – Darrell Conklin - 1995
Machine Learning: An Annotated Bibliography for the 1995 AI & . . . – David W. Aha - 1995
85 Inductive Constraint Logic – Luc De Raedt, Wim Van Laer - 1995
17 The Complexity of Theory Revision – Russell Greiner - 1998
15 The F-Logic Approach for Description Languages – Mira Balaban - 1993
31 Artificial Intelligence: A Computational Perspective – Bernhard Nebel - 1994
44 Learning Two-Tiered Descriptions of Flexible Concepts: The Poseidon Systems – F. Bergadano, S. Matwin, R. S. Michalski, J. Zhang - 1992
65 BIRCH: a new data clustering algorithm and its applications – Tian Zhang, Usama Fayyad - 1997
2 Extending Iterate Conceptual Clustering Scheme In Dealing With Numeric Data – Cen Li - 1995
1 Incremental Conceptual Clustering Without Order Dependancy – Nesıp Ilker Altintas - 1995