David W. Opitz

According to our database, David W. Opitz authored at least 21 papers between 1991 and 2001.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2001

Feature Extraction from Digital Imagery: A Hierarchical Method.

Mark Mangrich, David W. Opitz, Shane Mason

Proceedings of the IASTED International Conference on Visualization, 2001

2000

Use of Statistical and Neural Net Approaches in Predicting Toxicity of Chemicals.

Subhash C. Basak, Gregory D. Grunwald, Brian D. Gute, Krishnan Balasubramanian, David W. Opitz

J. Chem. Inf. Comput. Sci., 2000

A Comparision of Feature Extraction Techniques in Remotely Sensed Imagery.

David W. Opitz, Mark Mangrich, J. Zeiler, S. Blundell

Proceedings of the Artificial Intelligence and Soft Computing, July 24-26, 2000, Banff, 2000

Hazard Assessment Modeling: A Hierarchical QSAR Approach.

David W. Opitz, Subhash C. Basak, G. Prabu, Denise R. Mills

Proceedings of the Artificial Intelligence and Soft Computing, July 24-26, 2000, Banff, 2000

1999

Popular Ensemble Methods: An Empirical Study.

David W. Opitz, Richard Maclin

J. Artif. Intell. Res., 1999

Modeling User Tendencies when Classifying Images.

David W. Opitz, Michael D. Sweet

Proceedings of the Signal and Image Processing (SIP), 1999

Empirical Comparison of Automated Image Recognition Techniques.

William Bain, David W. Opitz

Proceedings of the Signal and Image Processing (SIP), 1999

Feature Selection for Ensembles.

David W. Opitz

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1997

Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies.

David W. Opitz, Jude W. Shavlik

J. Artif. Intell. Res., 1997

An empirical evaluation of bagging and boosting for artificial neural networks.

David W. Opitz, Richard Maclin

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Using neural networks to automatically refine expert system knowledge bases: experiments in the NYNEX MAX domain.

David W. Opitz, Mark W. Craven, Jude W. Shavlik

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Analyzing the structure of a neural network using principal component analysis.

David W. Opitz

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

The Effective Size of a Neural Network: A Principal Component Approach.

David W. Opitz

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

An Empirical Evaluation of Bagging and Boosting.

Richard Maclin, David W. Opitz

Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996

Actively Searching for an Effective Neural Network Ensemble.

David W. Opitz, Jude W. Shavlik

Connect. Sci., 1996

1995

Dynamically adding symbolically meaningful nodes to knowledge-based neural networks.

David W. Opitz, Jude W. Shavlik

Knowl. Based Syst., 1995

Generating Accurate and Diverse Members of a Neural-Network Ensemble.

David W. Opitz, Jude W. Shavlik

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

An anytime approach to connectionist theory refinement - refining the topologies of knowledge-based neural networks.

David W. Opitz

PhD thesis, 1995

1994

Using Genetic Search to Refine Knowledge-based Neural Networks.

David W. Opitz, Jude W. Shavlik

Proceedings of the Machine Learning, 1994

1993

Heuristically Expanding Knowledge-Based Neural Networks.

David W. Opitz, Jude W. Shavlik

Proceedings of the 13th International Joint Conference on Artificial Intelligence. Chambéry, France, August 28, 1993

1991

A Study of Single Bit Spin Waiting Alternatives.

David W. Opitz

Proceedings of the International Conference on Parallel Processing, 1991