Larry A. Rendell

53 papers A* 20A 2B 1C 1Journal 17Unranked 12

Year	Rank	Type	Title / Venue / Authors
2013	J	`jnl`	Induction, of and by Probability CoRR Larry A. Rendell
1998	—	`conf`	Relational Concepts and the Fourier Transform: An Empirical Study. Canadian AI Eduardo Pérez, Larry A. Rendell
1997	—	`conf`	Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. ECML Ricardo Vilalta, Gunnar Blix, Larry A. Rendell
1997	A*	`conf`	Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML Ricardo Vilalta, Larry A. Rendell
1996	A*	`conf`	Constructive Induction Using Fragmentary Knowledge. ICML Steven K. Donoho, Larry A. Rendell
1996	A*	`conf`	Learning Despite Concept Variation by Finding Structure in Attribute-based Data. ICML Eduardo Pérez, Larry A. Rendell
1995	A*	`conf`	Lessons from Theory Revision Applied to Constructive Induction. ICML Steven K. Donoho, Larry A. Rendell
1995	J	`jnl`	Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach CoRR Steven K. Donoho, Larry A. Rendell
1995	J	`jnl`	Rerepresenting and Restructuring Domain Theories: A Constructive Induction Approach. J. Artif. Intell. Res. Steven K. Donoho, Larry A. Rendell
1995	J	`jnl`	Searching for Representations to Improve Protein Sequence Fold-Class Prediction. Mach. Learn. Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam
1995	A*	`conf`	Using Multidimensional Projection to Find Relations. ICML Eduardo Pérez, Larry A. Rendell
1994	J	`jnl`	An Intelligent Symbol Usage Assistant for CAD Systems. IEEE Expert Der-Shung Yang, James H. Garrett Jr., Doris S. Shaw, Larry A. Rendell
1994	J	`jnl`	Symbol Recognition in a CAD Environment using a Neural Network. Int. J. Artif. Intell. Tools Der-Shung Yang, Larry A. Rendell, Julie L. Webster, Doris S. Shaw, James H. Garrett Jr.
1993	A*	`conf`	Complex Concept Acquisition through Directed Search and Feature Caching. IJCAI Harish Ragavan, Larry A. Rendell, Michael J. Shaw, Antoinette Tessmer
1993	A	`conf`	Constructive Induction and Protein Tertiary Structure Prediction. ISMB Thomas R. Ioerger, Larry A. Rendell, Shankar Subramaniam
1993	A*	`conf`	Improving the Design of Induction Methods by Analyzing Algorithm Functionality and Data-Based Concept Complexity. IJCAI Larry A. Rendell, Harish Ragavan
1993	A*	`conf`	Lookahead Feature Construction for Learning Hard Concepts. ICML Harish Ragavan, Larry A. Rendell
1993	B	`conf`	Management of Graphical Symbols in a CAD Environment: A Neural Network Approach. ICTAI Der-Shung Yang, Julie L. Webster, Larry A. Rendell, James H. Garrett Jr., Doris S. Shaw
1992	—	`conf`	A Practical Approach to Feature Selection. ML Kenji Kira, Larry A. Rendell
1992	C	`conf`	Knowledge Engineering for Protein Structure and Motifs: Design of a Prototype System. SEKE Shankar Subramaniam, David K. Tcheng, K. Hu, Harish Ragavan, Larry A. Rendell
1992	A*	`conf`	The Feature Selection Problem: Traditional Methods and a New Algorithm. AAAI Kenji Kira, Larry A. Rendell
1991	A*	`conf`	A Scheme for Feature Construction and a Comparison of Empirical Methods. IJCAI Der-Shung Yang, Larry A. Rendell, Gunnar Blix
1991	—	`conf`	AIMS: An Adaptive Interactive Modeling System for Supporting Engineering Decision Making. ML David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell
1991	—	`conf`	Feature Construction in Structural Decision Trees. ML Larry Watanabe, Larry A. Rendell
1991	—	`conf`	Fringe-Like Feature Construction: A Comparative Study and a Unifying Scheme. ML Der-Shung Yang, Larry A. Rendell, Gunnar Blix
1991	A*	`conf`	Learning Structural Decision Trees from Examples. IJCAI Larry Watanabe, Larry A. Rendell
1991	—	`conf`	Opportunistic Constructive Induction. ML Gregg H. Gunsch, Larry A. Rendell
1991	—	`conf`	Relations, Knowledge and Empirical Learning. ML Harish Ragavan, Larry A. Rendell
1991	—	`conf`	The Replication Problem: A Constructive Induction Approach. EWSL Der-Shung Yang, Gunnar Blix, Larry A. Rendell
1990	A*	`conf`	Effective Generalization of Relational Descriptions. AAAI Larry Watanabe, Larry A. Rendell
1990	J	`jnl`	Empirical Learning as a Function of Concept Character. Mach. Learn. Larry A. Rendell, Howard Cho
1990	J	`jnl`	Induction as optimization. IEEE Trans. Syst. Man Cybern. Larry A. Rendell
1990	J	`jnl`	Learning hard concepts through constructive induction: framework and rationale. Comput. Intell. Larry A. Rendell, Raj Seshu
1990	J	`jnl`	Planning and decision theory. Knowl. Eng. Rev. Peter Haddawy, Larry A. Rendell
1989	A*	`conf`	A Study of Empirical Learning for an Involved Problem. IJCAI Larry A. Rendell
1989	A*	`conf`	Building Robust Learning Systems by Combining Induction and Optimization. IJCAI David K. Tcheng, Bruce L. Lambert, Stephen C. Y. Lu, Larry A. Rendell
1989	—	`conf`	Comparing Systems and analyzing Functions to Improve Constructive Induction. ML Larry A. Rendell
1989	A*	`conf`	Constructive Induction On Decision Trees. IJCAI Christopher J. Matheus, Larry A. Rendell
1989	A*	`conf`	Principled Constructive Induction. IJCAI Pankaj Mehra, Larry A. Rendell, Benjamin W. Wah
1988	—	`conf`	Learning Hard Concepts. EWSL Larry A. Rendell
1988	J	`jnl`	Reply to An inquiry into computer understanding. Comput. Intell. Larry A. Rendell
1987	J	`jnl`	A reasoning-based approach to machine learning. Comput. Intell. Krish Purswani, Larry A. Rendell
1987	A*	`conf`	Layered Concept-Learning and Dynamically Variable Bias Management. IJCAI Larry A. Rendell, Raj Sheshu, David K. Tcheng
1987	J	`jnl`	Similarity-based learning and its extensions. Comput. Intell. Larry A. Rendell
1987	J	`jnl`	The papers of this issue on machine learning: editorial. Comput. Intell. Larry A. Rendell
1986	J	`jnl`	A General Framework for Induction and a Study of Selective Induction. Mach. Learn. Larry A. Rendell
1985	—	`conf`	Genetic Plans and the Probabilistic Learning System: Synthesis and Results. ICGA Larry A. Rendell
1985	A	`conf`	Induction, of and by Probability. UAI Larry A. Rendell
1985	A*	`conf`	Substantial Constructive Induction Using Layered Information Compression: Tractable Feature Formation in Search. IJCAI Larry A. Rendell
1983	A*	`conf`	A Doubly Layered, Genetic Penetrance Learning System. AAAI Larry A. Rendell
1983	A*	`conf`	A Learning System Which Accommodates Feature Interactions. IJCAI Larry A. Rendell
1983	J	`jnl`	A New Basis for State-Space Learning Systems and a Successful Implementation. Artif. Intell. Larry A. Rendell
1983	J	`jnl`	Toward a Unified Approach for Conceptual Knowledge Acquisition. AI Mag. Larry A. Rendell