Larry A. Rendell

According to our database, Larry A. Rendell authored at least 51 papers between 1983 and 1998.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

1998

Relational Concepts and the Fourier Transform: An Empirical Study.

Eduardo Pérez, Larry A. Rendell

Proceedings of the Advances in Artificial Intelligence, 1998

1997

Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction.

Ricardo Vilalta, Larry A. Rendell

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Global Data Analysis and the Fragmentation Problem in Decision Tree Induction.

Ricardo Vilalta, Gunnar Blix, Larry A. Rendell

Proceedings of the Machine Learning: ECML-97, 1997

1996

Learning Despite Concept Variation by Finding Structure in Attribute-based Data.

Eduardo Pérez, Larry A. Rendell

Proceedings of the Machine Learning, 1996

Constructive Induction Using Fragmentary Knowledge.

Steven K. Donoho, Larry A. Rendell

Proceedings of the Machine Learning, 1996

1995

Searching for Representations to Improve Protein Sequence Fold-Class Prediction.

Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam

Mach. Learn., 1995

Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach.

Steven K. Donoho, Larry A. Rendell

J. Artif. Intell. Res., 1995

Using Multidimensional Projection to Find Relations.

Eduardo Pérez, Larry A. Rendell

Proceedings of the Machine Learning, 1995

Lessons from Theory Revision Applied to Constructive Induction.

Steven K. Donoho, Larry A. Rendell

Proceedings of the Machine Learning, 1995

1994

Symbol Recognition in a CAD Environment using a Neural Network.

Der-Shung Yang, Larry A. Rendell, Julie L. Webster, Doris S. Shaw, James H. Garrett Jr.

Int. J. Artif. Intell. Tools, 1994

An Intelligent Symbol Usage Assistant for CAD Systems.

Der-Shung Yang, James H. Garrett Jr., Doris S. Shaw, Larry A. Rendell

IEEE Expert, 1994

1993

Constructive Induction and Protein Tertiary Structure Prediction.

Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam

Proceedings of the 1st International Conference on Intelligent Systems for Molecular Biology, 1993

Improving the Design of Induction Methods by Analyzing Algorithm Functionality and Data-Based Concept Complexity.

Larry A. Rendell, Harish Ragavan

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Complex Concept Acquisition through Directed Search and Feature Caching.

Harish Ragavan, Larry A. Rendell, Michael J. Shaw, Antoinette Tessmer

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

Management of Graphical Symbols in a CAD Environment: A Neural Network Approach.

Der-Shung Yang, Julie L. Webster, Larry A. Rendell, James H. Garrett Jr., Doris S. Shaw

Proceedings of the Fifth International Conference on Tools with Artificial Intelligence, 1993

Lookahead Feature Construction for Learning Hard Concepts.

Harish Ragavan, Larry A. Rendell

Proceedings of the Machine Learning, 1993

1992

Knowledge Engineering for Protein Structure and Motifs: Design of a Prototype System.

Shankar Subramaniam, David K. Tcheng, K. Hu, Harish Ragavan, Larry A. Rendell

Proceedings of the SEKE'92, 1992

A Practical Approach to Feature Selection.

Kenji Kira, Larry A. Rendell

Proceedings of the Ninth International Workshop on Machine Learning (ML 1992), 1992

The Feature Selection Problem: Traditional Methods and a New Algorithm.

Kenji Kira, Larry A. Rendell

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

A Scheme for Feature Construction and a Comparison of Empirical Methods.

Der-Shung Yang, Larry A. Rendell, Gunnar Blix

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Learning Structural Decision Trees from Examples.

Larry Watanabe, Larry A. Rendell

Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

Fringe-Like Feature Construction: A Comparative Study and a Unifying Scheme.

Der-Shung Yang, Larry A. Rendell, Gunnar Blix

Proceedings of the Eighth International Workshop (ML91), 1991

Feature Construction in Structural Decision Trees.

Larry Watanabe, Larry A. Rendell

Proceedings of the Eighth International Workshop (ML91), 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

Proceedings of the Eighth International Workshop (ML91), 1991

Relations, Knowledge and Empirical Learning.

Harish Ragavan, Larry A. Rendell

Proceedings of the Eighth International Workshop (ML91), 1991

Opportunistic Constructive Induction.

Gregg H. Gunsch, Larry A. Rendell

Proceedings of the Eighth International Workshop (ML91), 1991

The Replication Problem: A Constructive Induction Approach.

Der-Shung Yang, Gunnar Blix, Larry A. Rendell

Proceedings of the Machine Learning, 1991

1990

Induction as optimization.

Larry A. Rendell

IEEE Trans. Syst. Man Cybern., 1990

Empirical Learning as a Function of Concept Character.

Larry A. Rendell, Howard Cho

Mach. Learn., 1990

Planning and decision theory.

Peter Haddawy, Larry A. Rendell

Knowl. Eng. Rev., 1990

Learning hard concepts through constructive induction: framework and rationale.

Larry A. Rendell, Raj Seshu

Comput. Intell., 1990

Effective Generalization of Relational Descriptions.

Larry Watanabe, Larry A. Rendell

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

Building Robust Learning Systems by Combining Induction and Optimization.

David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

A Study of Empirical Learning for an Involved Problem.

Larry A. Rendell

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Principled Constructive Induction.

Pankaj Mehra, Larry A. Rendell, Benjamin W. Wah

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Constructive Induction On Decision Trees.

Christopher J. Matheus, Larry A. Rendell

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Comparing Systems and analyzing Functions to Improve Constructive Induction.

Larry A. Rendell

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Reply to An inquiry into computer understanding.

Larry A. Rendell

Comput. Intell., 1988

Learning Hard Concepts.

Larry A. Rendell

Proceedings of the Third European Working Session on Learning, 1988

1987

Similarity-based learning and its extensions.

Larry A. Rendell

Comput. Intell., 1987

The papers of this issue on machine learning: editorial.

Larry A. Rendell

Comput. Intell., 1987

A reasoning-based approach to machine learning.

Krish Purswani, Larry A. Rendell

Comput. Intell., 1987

Layered Concept-Learning and Dynamically Variable Bias Management.

Larry A. Rendell, Raj Sheshu, David K. Tcheng

Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

1986

A General Framework for Induction and a Study of Selective Induction.

Larry A. Rendell

Mach. Learn., 1986

1985

Induction, of and by Probability.

Larry A. Rendell

Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985

Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in Search.

Larry A. Rendell

Proceedings of the 9th International Joint Conference on Artificial Intelligence. Los Angeles, 1985

Genetic Plans and the Probabilistic Learning System: Synthesis and Results.

Larry A. Rendell

Proceedings of the 1st International Conference on Genetic Algorithms, 1985

1983

Toward a Unified Approach for Conceptual Knowledge Acquisition.

Larry A. Rendell

AI Mag., 1983

A New Basis for State-Space Learning Systems and a Successful Implementation.

Larry A. Rendell

Artif. Intell., 1983

A Learning System Which Accommodates Feature Interactions.

Larry A. Rendell

Proceedings of the 8th International Joint Conference on Artificial Intelligence. Karlsruhe, 1983

A Doubly Layered, Genetic Penetrance Learning System.

Larry A. Rendell

Proceedings of the National Conference on Artificial Intelligence, 1983