Rendell, Larry A.

33 publications

ECML-PKDD 1997 Global Data Analysis and the Fragmentation Problem in Decision Tree Induction Ricardo Vilalta, Gunnar Blix, Larry A. Rendell

ICML 1997 Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction Ricardo Vilalta, Larry A. Rendell

ICML 1996 Constructive Induction Using Fragmentary Knowledge Steven K. Donoho, Larry A. Rendell

ICML 1996 Learning Despite Concept Variation by Finding Structure in Attribute-Based Data Eduardo Pérez, Larry A. Rendell

ICML 1995 Lessons from Theory Revision Applied to Constructive Induction Steven K. Donoho, Larry A. Rendell

JAIR 1995 Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach Steven K. Donoho, Larry A. Rendell

MLJ 1995 Searching for Representations to Improve Protein Sequence Fold-Class Prediction Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam

ICML 1995 Using Multidimensional Projection to Find Relations Eduardo Pérez, Larry A. Rendell

IJCAI 1993 Complex Concept Acquisition Through Directed Search and Feature Caching Harish Ragavan, Larry A. Rendell, Michael J. Shaw, Antoinette Tessmer

IJCAI 1993 Improving the Design of Induction Methods by Analyzing Algorithm Functionality and Data-Based Concept Complexity Larry A. Rendell, Harish Ragavan

ICML 1993 Lookahead Feature Construction for Learning Hard Concepts Harish Ragavan, Larry A. Rendell

ICML 1992 A Practical Approach to Feature Selection Kenji Kira, Larry A. Rendell

AAAI 1992 The Feature Selection Problem: Traditional Methods and a New Algorithm Kenji Kira, Larry A. Rendell

IJCAI 1991 A Scheme for Feature Construction and a Comparison of Empirical Methods Der-Shung Yang, Larry A. Rendell, Gunnar Blix

ICML 1991 AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell

ICML 1991 Feature Construction in Structural Decision Trees Larry Watanabe, Larry A. Rendell

ICML 1991 Fringe-like Feature Construction: A Comparative Study and a Unifying Scheme Der-Shung Yang, Larry A. Rendell, Gunnar Blix

IJCAI 1991 Learning Structural Decision Trees from Examples Larry Watanabe, Larry A. Rendell

ICML 1991 Opportunistic Constructive Induction Gregg H. Gunsch, Larry A. Rendell

ICML 1991 Relations, Knowledge and Empirical Learning Harish Ragavan, Larry A. Rendell

AAAI 1990 Effective Generalization of Relational Descriptions Larry Watanabe, Larry A. Rendell

MLJ 1990 Empirical Learning as a Function of Concept Character Larry A. Rendell, Howard Cho

IJCAI 1989 A Study of Empirical Learning for an Involved Problem Larry A. Rendell

IJCAI 1989 Building Robust Learning Systems by Combining Induction and Optimization David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell

ICML 1989 Comparing Systems and Analyzing Functions to Improve Constructive Induction Larry A. Rendell

IJCAI 1989 Constructive Induction on Decision Trees Christopher J. Matheus, Larry A. Rendell

IJCAI 1989 Principled Constructive Induction Pankaj Mehra, Larry A. Rendell, Benjamin W. Wah

IJCAI 1987 Layered Concept-Learning and Dynamically Variable Bias Management Larry A. Rendell, Raj Sheshu, David K. Tcheng

MLJ 1986 A General Framework for Induction and a Study of Selective Induction Larry A. Rendell

UAI 1985 Induction, of and by Probability Larry A. Rendell

IJCAI 1985 Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in Search Larry A. Rendell

AAAI 1983 A Doubly Layered, Genetic Penetrance Learning System Larry A. Rendell

IJCAI 1983 A Learning System Which Accommodates Feature Interactions Larry A. Rendell