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Larry A. Rendell
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- affiliation: University of Illinois, USA
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2010 – 2019
- 2013
- [i2]Larry A. Rendell:
Induction, of and by Probability. CoRR abs/1304.3433 (2013)
1990 – 1999
- 1998
- [c36]Eduardo Pérez, Larry A. Rendell:
Relational Concepts and the Fourier Transform: An Empirical Study. Canadian AI 1998: 411-425 - 1997
- [c35]Ricardo Vilalta, Gunnar Blix, Larry A. Rendell:
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. ECML 1997: 312-326 - [c34]Ricardo Vilalta, Larry A. Rendell:
Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML 1997: 394-402 - 1996
- [c33]Steven K. Donoho, Larry A. Rendell:
Constructive Induction Using Fragmentary Knowledge. ICML 1996: 113-121 - [c32]Eduardo Pérez, Larry A. Rendell:
Learning Despite Concept Variation by Finding Structure in Attribute-based Data. ICML 1996: 391-399 - 1995
- [j15]Steven K. Donoho, Larry A. Rendell:
Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach. J. Artif. Intell. Res. 2: 411-446 (1995) - [j14]Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam:
Searching for Representations to Improve Protein Sequence Fold-Class Prediction. Mach. Learn. 21(1-2): 151-175 (1995) - [c31]Steven K. Donoho, Larry A. Rendell:
Lessons from Theory Revision Applied to Constructive Induction. ICML 1995: 185-193 - [c30]Eduardo Pérez, Larry A. Rendell:
Using Multidimensional Projection to Find Relations. ICML 1995: 447-455 - [i1]Steven K. Donoho, Larry A. Rendell:
Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach. CoRR cs.AI/9504101 (1995) - 1994
- [j13]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) - [j12]Der-Shung Yang, Larry A. Rendell, Julie L. Webster, Doris S. Shaw, James H. Garrett Jr.:
Symbol Recognition in a CAD Environment using a Neural Network. Int. J. Artif. Intell. Tools 3(2): 157-186 (1994) - 1993
- [c29]Harish Ragavan, Larry A. Rendell:
Lookahead Feature Construction for Learning Hard Concepts. ICML 1993: 252-259 - [c28]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 - [c27]Harish Ragavan, Larry A. Rendell, Michael J. Shaw, Antoinette Tessmer:
Complex Concept Acquisition through Directed Search and Feature Caching. IJCAI 1993: 946-951 - [c26]Larry A. Rendell, Harish Ragavan:
Improving the Design of Induction Methods by Analyzing Algorithm Functionality and Data-Based Concept Complexity. IJCAI 1993: 952-959 - [c25]Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam:
Constructive Induction and Protein Tertiary Structure Prediction. ISMB 1993: 198-206 - 1992
- [c24]Kenji Kira, Larry A. Rendell:
The Feature Selection Problem: Traditional Methods and a New Algorithm. AAAI 1992: 129-134 - [c23]Kenji Kira, Larry A. Rendell:
A Practical Approach to Feature Selection. ML 1992: 249-256 - [c22]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
- [c21]Der-Shung Yang, Gunnar Blix, Larry A. Rendell:
The Replication Problem: A Constructive Induction Approach. EWSL 1991: 44-61 - [c20]Gregg H. Gunsch, Larry A. Rendell:
Opportunistic Constructive Induction. ML 1991: 147-152 - [c19]Harish Ragavan, Larry A. Rendell:
Relations, Knowledge and Empirical Learning. ML 1991: 188-192 - [c18]Larry Watanabe, Larry A. Rendell:
Feature Construction in Structural Decision Trees. ML 1991: 218-222 - [c17]Der-Shung Yang, Larry A. Rendell, Gunnar Blix:
Fringe-Like Feature Construction: A Comparative Study and a Unifying Scheme. ML 1991: 223-227 - [c16]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 - [c15]Der-Shung Yang, Larry A. Rendell, Gunnar Blix:
A Scheme for Feature Construction and a Comparison of Empirical Methods. IJCAI 1991: 699-704 - [c14]Larry Watanabe, Larry A. Rendell:
Learning Structural Decision Trees from Examples. IJCAI 1991: 770-776 - 1990
- [j11]Larry A. Rendell, Raj Seshu:
Learning hard concepts through constructive induction: framework and rationale. Comput. Intell. 6: 247-270 (1990) - [j10]Peter Haddawy, Larry A. Rendell:
Planning and decision theory. Knowl. Eng. Rev. 5(1): 15-33 (1990) - [j9]Larry A. Rendell, Howard Cho:
Empirical Learning as a Function of Concept Character. Mach. Learn. 5: 267-298 (1990) - [j8]Larry A. Rendell:
Induction as optimization. IEEE Trans. Syst. Man Cybern. 20(2): 326-338 (1990) - [c13]Larry Watanabe, Larry A. Rendell:
Effective Generalization of Relational Descriptions. AAAI 1990: 875-881
1980 – 1989
- 1989
- [c12]Larry A. Rendell:
Comparing Systems and analyzing Functions to Improve Constructive Induction. ML 1989: 461-464 - [c11]Larry A. Rendell:
A Study of Empirical Learning for an Involved Problem. IJCAI 1989: 615-620 - [c10]Christopher J. Matheus, Larry A. Rendell:
Constructive Induction On Decision Trees. IJCAI 1989: 645-650 - [c9]Pankaj Mehra, Larry A. Rendell, Benjamin W. Wah:
Principled Constructive Induction. IJCAI 1989: 651-656 - [c8]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 - 1988
- [j7]Larry A. Rendell:
Reply to An inquiry into computer understanding. Comput. Intell. 4: 103-105 (1988) - [c7]Larry A. Rendell:
Learning Hard Concepts. EWSL 1988: 177-200 - 1987
- [j6]Larry A. Rendell:
The papers of this issue on machine learning: editorial. Comput. Intell. 3: 239-240 (1987) - [j5]Larry A. Rendell:
Similarity-based learning and its extensions. Comput. Intell. 3: 241-266 (1987) - [j4]Krish Purswani, Larry A. Rendell:
A reasoning-based approach to machine learning. Comput. Intell. 3: 351-366 (1987) - [c6]Larry A. Rendell, Raj Sheshu, David K. Tcheng:
Layered Concept-Learning and Dynamically Variable Bias Management. IJCAI 1987: 308-314 - 1986
- [j3]Larry A. Rendell:
A General Framework for Induction and a Study of Selective Induction. Mach. Learn. 1(2): 177-226 (1986) - 1985
- [c5]Larry A. Rendell:
Genetic Plans and the Probabilistic Learning System: Synthesis and Results. ICGA 1985: 60-73 - [c4]Larry A. Rendell:
Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in Search. IJCAI 1985: 650-658 - [c3]Larry A. Rendell:
Induction, of and by Probability. UAI 1985: 429-446 - 1983
- [j2]Larry A. Rendell:
A New Basis for State-Space Learning Systems and a Successful Implementation. Artif. Intell. 20(4): 369-392 (1983) - [j1]Larry A. Rendell:
Toward a Unified Approach for Conceptual Knowledge Acquisition. AI Mag. 4(4): 19-27 (1983) - [c2]Larry A. Rendell:
A Doubly Layered, Genetic Penetrance Learning System. AAAI 1983: 343-347 - [c1]Larry A. Rendell:
A Learning System Which Accommodates Feature Interactions. IJCAI 1983: 469-472
Coauthor Index
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