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

A Learning System Which Accommodates Feature Interactions. - Larry A. Rendell (IJCAI, 1983)

A New Basis for State-Space Learning Systems and a Successful Implementation. - Larry A. Rendell (Artif. Intell., 1983)

Toward a Unified Approach for Conceptual Knowledge Acquisition. - Larry A. Rendell (AI Mag., 1983)

Genetic Plans and the Probabilistic Learning System: Synthesis and Results. - Larry A. Rendell (ICGA, 1985)

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

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

A General Framework for Induction and a Study of Selective Induction. - Larry A. Rendell (Mach. Learn., 1986)

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

A reasoning-based approach to machine learning. - Krish Purswani; Larry A. Rendell (Comput. Intell., 1987)

The papers of this issue on machine learning: editorial. - Larry A. Rendell (Comput. Intell., 1987)

Similarity-based learning and its extensions. - Larry A. Rendell (Comput. Intell., 1987)

Learning Hard Concepts. - Larry A. Rendell (EWSL, 1988)

Reply to An inquiry into computer understanding. - Larry A. Rendell (Comput. Intell., 1988)

Comparing Systems and analyzing Functions to Improve Constructive Induction. - Larry A. Rendell (ML, 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, 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 (IJCAI, 1989)

Effective Generalization of Relational Descriptions. - Larry Watanabe; Larry A. Rendell (AAAI, 1990)

Learning hard concepts through constructive induction: framework and rationale. - Larry A. Rendell; Raj Seshu (Comput. Intell., 1990)

Planning and decision theory. - Peter Haddawy; Larry A. Rendell (Knowl. Eng. Rev., 1990)

Empirical Learning as a Function of Concept Character. - Larry A. Rendell; Howard Cho (Mach. Learn., 1990)

Induction as optimization. - Larry A. Rendell (IEEE Trans. Syst. Man Cybern., 1990)

The Replication Problem: A Constructive Induction Approach. - Der-Shung Yang; Gunnar Blix; Larry A. Rendell (EWSL, 1991)

Opportunistic Constructive Induction. - Gregg H. Gunsch; Larry A. Rendell (ML, 1991)

Relations, Knowledge and Empirical Learning. - Harish Ragavan; Larry A. Rendell (ML, 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 (ML, 1991)

Feature Construction in Structural Decision Trees. - Larry Watanabe; Larry A. Rendell (ML, 1991)

Fringe-Like Feature Construction: A Comparative Study and a Unifying Scheme. - Der-Shung Yang; Larry A. Rendell; Gunnar Blix (ML, 1991)

Learning Structural Decision Trees from Examples. - Larry Watanabe; Larry A. Rendell (IJCAI, 1991)

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

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

A Practical Approach to Feature Selection. - Kenji Kira; Larry A. Rendell (ML, 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 (SEKE, 1992)

Lookahead Feature Construction for Learning Hard Concepts. - Harish Ragavan; Larry A. Rendell (ICML, 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 (ICTAI, 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 (IJCAI, 1993)

Constructive Induction and Protein Tertiary Structure Prediction. - Thomas R. Ioerger; Larry A. Rendell; Shankar Subramaniam (ISMB, 1993)

An Intelligent Symbol Usage Assistant for CAD Systems. - Der-Shung Yang; James H. Garrett Jr.; Doris S. Shaw; Larry A. Rendell (IEEE Expert, 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)

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

Using Multidimensional Projection to Find Relations. - Eduardo Pérez; Larry A. Rendell (ICML, 1995)

Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach. - Steven K. Donoho; Larry A. Rendell (J. Artif. Intell. Res., 1995)

Searching for Representations to Improve Protein Sequence Fold-Class Prediction. - Thomas R. Ioerger; Larry A. Rendell; Shankar Subramaniam (Mach. Learn., 1995)

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, 1996)

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

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

Relational Concepts and the Fourier Transform: An Empirical Study. - Eduardo Pérez; Larry A. Rendell (Canadian AI, 1998)