Larry A. Rendell

	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		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		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		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		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)

Coauthor Index

1	Gunnar Blix	[24] [29] [30] [48]
2	Howard Cho	[20]
3	Steven K. Donoho	[41] [42] [44] [46]
4	James H. Garrett Jr.	[37] [39]
5	Gregg H. Gunsch	[27]
6	K. Hu	[31]
7	Thomas R. Ioerger	[34] [40]
8	Kenji Kira	[32] [33]
9	Bruce L. Lambert	[16] [23]
10	Stephen C. Y. Lu	[16] [23]
11	Christopher J. Matheus	[18]
12	Pankaj Mehra	[17]
13	Eduardo Pérez	[43] [45] [49]
14	Krish Purswani	[9]
15	Harish Ragavan	[26] [31] [35] [36] [38]
16	Raj Seshu	[21]
17	Doris S. Shaw	[37] [39]
18	Michael J. Shaw	[36]
19	Raj Sheshu	[12]
20	Shankar Subramaniam	[31] [34] [40]
21	David K. Tcheng	[12] [16] [23] [31]
22	Antoinette Tessmer	[36]
23	Ricardo Vilalta	[47] [48]
24	Benjamin W. Wah	[17]
25	Larry Watanabe	[22] [25] [28]
26	Julie L. Webster	[37]
27	Der-Shung Yang	[24] [29] [30] [37] [39]

Colors in the list of coauthors

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