David W. Opitz

23 papers A* 3Misc 2Journal 7Unranked 10

Year	Rank	Type	Title / Venue / Authors
2011	J	`jnl`	Popular Ensemble Methods: An Empirical Study CoRR Richard Maclin, David W. Opitz
2001	—	`conf`	Feature Extraction from Digital Imagery: A Hierarchical Method. VIIP Mark Mangrich, David W. Opitz, Shane Mason
2000	Misc	`conf`	A Comparision of Feature Extraction Techniques in Remotely Sensed Imagery. Artificial Intelligence and Soft Computing David W. Opitz, Mark Mangrich, J. Zeiler, S. Blundell
2000	Misc	`conf`	Hazard Assessment Modeling: A Hierarchical QSAR Approach. Artificial Intelligence and Soft Computing David W. Opitz, Subhash C. Basak, G. Prabu, Denise R. Mills
2000	J	`jnl`	Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals. J. Chem. Inf. Comput. Sci. Subhash C. Basak, Gregory D. Grunwald, Brian D. Gute, Krishnan Balasubramanian, David W. Opitz
1999	—	`conf`	Empirical Comparison of Automated Image Recognition Techniques. SIP William Bain, David W. Opitz
1999	—	`conf`	Feature Selection for Ensembles. AAAI/IAAI David W. Opitz
1999	—	`conf`	Modeling User Tendencies when Classifying Images. SIP David W. Opitz, Michael D. Sweet
1999	J	`jnl`	Popular Ensemble Methods: An Empirical Study. J. Artif. Intell. Res. David W. Opitz, Richard Maclin
1997	—	`conf`	An Empirical Evaluation of Bagging and Boosting. AAAI/IAAI Richard Maclin, David W. Opitz
1997	—	`conf`	An empirical evaluation of bagging and boosting for artificial neural networks. ICNN David W. Opitz, Richard Maclin
1997	—	`conf`	Analyzing the structure of a neural network using principal component analysis. ICNN David W. Opitz
1997	J	`jnl`	Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies CoRR David W. Opitz, Jude W. Shavlik
1997	J	`jnl`	Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies. J. Artif. Intell. Res. David W. Opitz, Jude W. Shavlik
1997	A*	`conf`	The Effective Size of a Neural Network: A Principal Component Approach. ICML David W. Opitz
1997	—	`conf`	Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain. ICNN David W. Opitz, Mark W. Craven, Jude W. Shavlik
1996	J	`jnl`	Actively Searching for an Effective Neural Network Ensemble. Connect. Sci. David W. Opitz, Jude W. Shavlik
1995	—	`—`	An anytime approach to connectionist theory refinement - refining the topologies of knowledge-based neural networks. David W. Opitz
1995	J	`jnl`	Dynamically adding symbolically meaningful nodes to knowledge-based neural networks. Knowl. Based Syst. David W. Opitz, Jude W. Shavlik
1995	—	`conf`	Generating Accurate and Diverse Members of a Neural-Network Ensemble. NIPS David W. Opitz, Jude W. Shavlik
1994	A*	`conf`	Using Genetic Search to Refine Knowledge-based Neural Networks. ICML David W. Opitz, Jude W. Shavlik
1993	A*	`conf`	Heuristically Expanding Knowledge-Based Neural Networks. IJCAI David W. Opitz, Jude W. Shavlik
1991	—	`conf`	A Study of Single Bit Spin Waiting Alternatives. ICPP (1) David W. Opitz