| 1998 |
|---|
| 49 | | Eduardo Pérez,
Larry A. Rendell:
Relational Concepts and the Fourier Transform: An Empirical Study.
Canadian Conference on AI 1998: 411-425 |
| 1997 |
|---|
| 48 | | Ricardo Vilalta,
Gunnar Blix,
Larry A. Rendell:
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction.
ECML 1997: 312-326 |
| 47 | | Ricardo Vilalta,
Larry A. Rendell:
Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction.
ICML 1997: 394-402 |
| 1996 |
|---|
| 46 | | Steven K. Donoho,
Larry A. Rendell:
Constructive Induction Using Fragmentary Knowledge.
ICML 1996: 113-121 |
| 45 | | Eduardo Pérez,
Larry A. Rendell:
Learning Despite Concept Variation by Finding Structure in Attribute-based Data.
ICML 1996: 391-399 |
| 1995 |
|---|
| 44 | | Steven K. Donoho,
Larry A. Rendell:
Lessons from Theory Revision Applied to Constructive Induction.
ICML 1995: 185-193 |
| 43 | | Eduardo Pérez,
Larry A. Rendell:
Using Multidimensional Projection to Find Relations.
ICML 1995: 447-455 |
| 42 | EE | Steven K. Donoho,
Larry A. Rendell:
Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach
CoRR cs.AI/9504101: (1995) |
| 41 | | Steven K. Donoho,
Larry A. Rendell:
Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach.
J. Artif. Intell. Res. (JAIR) 2: 411-446 (1995) |
| 40 | | Thomas R. Ioerger,
Larry A. Rendell,
Shankar Subramaniam:
Searching for Representations to Improve Protein Sequence Fold-Class Prediction.
Machine Learning 21(1-2): 151-175 (1995) |
| 1994 |
|---|
| 39 | EE | Der-Shung Yang,
James H. Garrett Jr.,
Doris S. Shaw,
Larry A. Rendell:
An Intelligent Symbol Usage Assistant for CAD Systems.
IEEE Expert 9(3): 32-41 (1994) |
| 1993 |
|---|
| 38 | | Harish Ragavan,
Larry A. Rendell:
Lookahead Feature Construction for Learning Hard Concepts.
ICML 1993: 252-259 |
| 37 | | Der-Shung Yang,
Julie L. Webster,
Larry A. Rendell,
James H. Garrett Jr.,
Doris S. Shaw:
Management of Graphical Symbols in a CAD Environment: A Neural Network Approach.
ICTAI 1993: 272-279 |
| 36 | | Harish Ragavan,
Larry A. Rendell,
Michael J. Shaw,
Antoinette Tessmer:
Complex Concept Acquisition through Directed Search and Feature Caching.
IJCAI 1993: 946-951 |
| 35 | | Larry A. Rendell,
Harish Ragavan:
Improving the Design of Induction Methods by Analyzing Algorithm Functionality and Data-Based Concept Complexity.
IJCAI 1993: 952-959 |
| 34 | | Thomas R. Ioerger,
Larry A. Rendell,
Shankar Subramaniam:
Constructive Induction and Protein Tertiary Structure Prediction.
ISMB 1993: 198-206 |
| 1992 |
|---|
| 33 | | Kenji Kira,
Larry A. Rendell:
The Feature Selection Problem: Traditional Methods and a New Algorithm.
AAAI 1992: 129-134 |
| 32 | | Kenji Kira,
Larry A. Rendell:
A Practical Approach to Feature Selection.
ML 1992: 249-256 |
| 31 | EE | Shankar Subramaniam,
David K. Tcheng,
K. Hu,
Harish Ragavan,
Larry A. Rendell:
Knowledge Engineering for Protein Structure and Motifs: Design of a Prototype System.
SEKE 1992: 420-435 |
| 1991 |
|---|
| 30 | | Der-Shung Yang,
Gunnar Blix,
Larry A. Rendell:
The Replication Problem: A Constructive Induction Approach.
EWSL 1991: 44-61 |
| 29 | | Der-Shung Yang,
Larry A. Rendell,
Gunnar Blix:
A Scheme for Feature Construction and a Comparison of Empirical Methods.
IJCAI 1991: 699-704 |
| 28 | | Larry Watanabe,
Larry A. Rendell:
Learning Structural Decision Trees from Examples.
IJCAI 1991: 770-776 |
| 27 | | Gregg H. Gunsch,
Larry A. Rendell:
Opportunistic Constructive Induction.
ML 1991: 147-152 |
| 26 | | Harish Ragavan,
Larry A. Rendell:
Relations, Knowledge and Empirical Learning.
ML 1991: 188-192 |
| 25 | | Larry Watanabe,
Larry A. Rendell:
Feature Construction in Structural Decision Trees.
ML 1991: 218-222 |
| 24 | | Der-Shung Yang,
Larry A. Rendell,
Gunnar Blix:
Fringe-Like Feature Construction: A Comparative Study and a Unifying Scheme.
ML 1991: 223-227 |
| 23 | | David K. Tcheng,
Bruce L. Lambert,
Stephen C. Y. Lu,
Larry A. Rendell:
AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making.
ML 1991: 645-649 |
| 1990 |
|---|
| 22 | | Larry Watanabe,
Larry A. Rendell:
Effective Generalization of Relational Descriptions.
AAAI 1990: 875-881 |
| 21 | | Larry A. Rendell,
Raj Seshu:
Learning hard concepts through constructive induction: framework and rationale.
Computational Intelligence 6: 247-270 (1990) |
| 20 | | Larry A. Rendell,
Howard Cho:
Empirical Learning as a Function of Concept Character.
Machine Learning 5: 267-298 (1990) |
| 1989 |
|---|
| 19 | | Larry A. Rendell:
A Study of Empirical Learning for an Involved Problem.
IJCAI 1989: 615-620 |
| 18 | | Christopher J. Matheus,
Larry A. Rendell:
Constructive Induction On Decision Trees.
IJCAI 1989: 645-650 |
| 17 | | Pankaj Mehra,
Larry A. Rendell,
Benjamin W. Wah:
Principled Constructive Induction.
IJCAI 1989: 651-656 |
| 16 | | David K. Tcheng,
Bruce L. Lambert,
Stephen C. Y. Lu,
Larry A. Rendell:
Building Robust Learning Systems by Combining Induction and Optimization.
IJCAI 1989: 806-812 |
| 15 | | Larry A. Rendell:
Comparing Systems and analyzing Functions to Improve Constructive Induction.
ML 1989: 461-464 |
| 1988 |
|---|
| 14 | | Larry A. Rendell:
Learning Hard Concepts.
EWSL 1988: 177-200 |
| 13 | | Larry A. Rendell:
Reply to An inquiry into computer understanding.
Computational Intelligence 4: 103-105 (1988) |
| 1987 |
|---|
| 12 | | Larry A. Rendell,
Raj Sheshu,
David K. Tcheng:
Layered Concept-Learning and Dynamically Variable Bias Management.
IJCAI 1987: 308-314 |
| 11 | | Larry A. Rendell:
The papers of this issue on machine learning: editorial.
Computational Intelligence 3: 239-240 (1987) |
| 10 | | Larry A. Rendell:
Similarity-based learning and its extensions.
Computational Intelligence 3: 241-266 (1987) |
| 9 | | Krish Purswani,
Larry A. Rendell:
A reasoning-based approach to machine learning.
Computational Intelligence 3: 351-366 (1987) |
| 1986 |
|---|
| 8 | | Larry A. Rendell:
A General Framework for Induction and a Study of Selective Induction.
Machine Learning 1(2): 177-226 (1986) |
| 1985 |
|---|
| 7 | | Larry A. Rendell:
Genetic Plans and the Probabilistic Learning System: Synthesis and Results.
ICGA 1985: 60-73 |
| 6 | | Larry A. Rendell:
Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in Search.
IJCAI 1985: 650-658 |
| 5 | EE | Larry A. Rendell:
Induction, of and by Probability.
UAI 1985: 429-446 |
| 1983 |
|---|
| 4 | | Larry A. Rendell:
A Doubly Layered, Genetic Penetrance Learning System.
AAAI 1983: 343-347 |
| 3 | | Larry A. Rendell:
A Learning System Which Accommodates Feature Interactions.
IJCAI 1983: 469-472 |
| 2 | | Larry A. Rendell:
Toward a Unified Approach for Conceptual Knowledge Acquisition.
AI Magazine 4(4): 19-27 (1983) |
| 1 | | Larry A. Rendell:
A New Basis for State-Space Learning Systems and a Successful Implementation.
Artif. Intell. 20(4): 369-392 (1983) |
