Larry A. Rendell - researchr alias

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Viewing Publication 1 - 51 from 51

1998

Relational Concepts and the Fourier Transform: An Empirical StudyEduardo Pérez, Larry A. Rendell. ai 1998: 411-425

1997

Integrating Feature Construction with Multiple Classifiers in Decision Tree InductionRicardo Vilalta, Larry A. Rendell. icml 1997: 394-402

Global Data Analysis and the Fragmentation Problem in Decision Tree InductionRicardo Vilalta, Gunnar Blix, Larry A. Rendell. ecml 1997: 312-326

1996

Constructive Induction Using Fragmentary KnowledgeSteven K. Donoho, Larry A. Rendell. icml 1996: 113-121

Learning Despite Concept Variation by Finding Structure in Attribute-based DataEduardo Pérez, Larry A. Rendell. icml 1996: 391-399

1995

Lessons from Theory Revision Applied to Constructive InductionSteven K. Donoho, Larry A. Rendell. icml 1995: 185-193

Rerepresenting and Restructuring Domain Theories: A Constructive Induction ApproachSteven K. Donoho, Larry A. Rendell. jair, 2:411-446, 1995.

Searching for Representations to Improve Protein Sequence Fold-Class PredictionThomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam. ml, 21(1-2):151-175, 1995.

Using Multidimensional Projection to Find RelationsEduardo Pérez, Larry A. Rendell. icml 1995: 447-455

1994

An Intelligent Symbol Usage Assistant for CAD SystemsDer-Shung Yang, James H. Garrett Jr., Doris S. Shaw, Larry A. Rendell. expert, 9(3):32-41, 1994. [doi]

Symbol Recognition in a CAD Environment using a Neural NetworkDer-Shung Yang, Larry A. Rendell, Julie L. Webster, Doris S. Shaw, James H. Garrett Jr.. ijait, 3(2):157-186, 1994. [doi]

1993

1992

The Feature Selection Problem: Traditional Methods and a New AlgorithmKenji Kira, Larry A. Rendell. AAAI 1992: 129-134

A Practical Approach to Feature SelectionKenji Kira, Larry A. Rendell. icml 1992: 249-256

Knowledge Engineering for Protein Structure and Motifs: Design of a Prototype SystemShankar Subramaniam, David K. Tcheng, K. Hu, Harish Ragavan, Larry A. Rendell. seke 1992: 420-435 [doi]

1991

Opportunistic Constructive InductionGregg H. Gunsch, Larry A. Rendell. icml 1991: 147-152

Relations, Knowledge and Empirical LearningHarish Ragavan, Larry A. Rendell. icml 1991: 188-192

AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision MakingDavid K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell. icml 1991: 645-649

Learning Structural Decision Trees from ExamplesLarry Watanabe, Larry A. Rendell. IJCAI 1991: 770-776

Feature Construction in Structural Decision TreesLarry Watanabe, Larry A. Rendell. icml 1991: 218-222

The Replication Problem: A Constructive Induction ApproachDer-Shung Yang, Gunnar Blix, Larry A. Rendell. ecml 1991: 44-61

A Scheme for Feature Construction and a Comparison of Empirical MethodsDer-Shung Yang, Larry A. Rendell, Gunnar Blix. IJCAI 1991: 699-704

Fringe-Like Feature Construction: A Comparative Study and a Unifying SchemeDer-Shung Yang, Larry A. Rendell, Gunnar Blix. icml 1991: 223-227

1990

Planning and decision theoryPeter Haddawy, Larry A. Rendell. ker, 5(1):15-33, 1990. [doi]

Learning hard concepts through constructive induction: framework and rationaleLarry A. Rendell, Raj Seshu. ci, 6:247-270, 1990.

Empirical Learning as a Function of Concept CharacterLarry A. Rendell, Howard Cho. ml, 5:267-298, 1990.

Induction as optimizationLarry A. Rendell. tsmc, 20(2):326-338, 1990. [doi]

Effective Generalization of Relational DescriptionsLarry Watanabe, Larry A. Rendell. AAAI 1990: 875-881

1989

1988

Learning Hard ConceptsLarry A. Rendell. ecml 1988: 177-200

Reply to An inquiry into computer understandingLarry A. Rendell. ci, 4:103-105, 1988.

1987

A reasoning-based approach to machine learningKrish Purswani, Larry A. Rendell. ci, 3:351-366, 1987.

Layered Concept-Learning and Dynamically Variable Bias ManagementLarry A. Rendell, Raj Sheshu, David K. Tcheng. IJCAI 1987: 308-314

The papers of this issue on machine learning: editorialLarry A. Rendell. ci, 3:239-240, 1987.

Similarity-based learning and its extensionsLarry A. Rendell. ci, 3:241-266, 1987.

1986

A General Framework for Induction and a Study of Selective InductionLarry A. Rendell. ml, 1(2):177-226, 1986.

1985

Genetic Plans and the Probabilistic Learning System: Synthesis and ResultsLarry A. Rendell. icga 1985: 60-73

Induction, of and by ProbabilityLarry A. Rendell. uai 1988: 429-446 [doi]

Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in SearchLarry A. Rendell. IJCAI 1985: 650-658

1983

A New Basis for State-Space Learning Systems and a Successful ImplementationLarry A. Rendell. ai, 20(4):369-392, 1983.

Toward a Unified Approach for Conceptual Knowledge AcquisitionLarry A. Rendell. aim, 4(4):19-27, 1983.

A Doubly Layered, Genetic Penetrance Learning SystemLarry A. Rendell. AAAI 1983: 343-347

A Learning System Which Accommodates Feature InteractionsLarry A. Rendell. IJCAI 1983: 469-472

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