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Larry A. Rendell Vis

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*1998
49 Eduardo Pérez, Larry A. Rendell: Relational Concepts and the Fourier Transform: An Empirical Study. Canadian Conference on AI 1998: 411-425
1997
48EERicardo 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
42EESteven 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
39EEDer-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
31EEShankar 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
30EEDer-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
5EELarry 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

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

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)