David W. Opitz

发表

A Comparision of Feature Extraction Techniques in Remotely Sensed Imagery

David W. Opitz, Mark Mangrich, J. Zeiler, 2000, Artificial Intelligence and Soft Computing.

Heuristically Expanding Knowledge-Based Neural Networks

David W. Opitz, Jude W. Shavlik, J. Shavlik, 1993, IJCAI.

CS 557.01: Machine Learning

David W. Opitz, 2002 .

Generating Accurate and Diverse Members of a Neural-Network Ensemble

David W. Opitz, Jude W. Shavlik, J. Shavlik, 1995, NIPS.

Connectionist Theory Refinement: Genetically Searching the Space of Network Topologies

David W. Opitz, Jude W. Shavlik, J. Shavlik, 1997, J. Artif. Intell. Res..

A Study of Single Bit Spin Waiting Alternatives

David W. Opitz, 1991, ICPP.

Feature Selection for Ensembles

David W. Opitz, D. Opitz, 1999, AAAI/IAAI.

An evolutionary approach to feature set selection

David W. Opitz, 1999 .

Hazard Assessment Modeling: A Hierarchical QSAR Approach

David W. Opitz, Subhash C. Basak, Denise R. Mills, 2000, Artificial Intelligence and Soft Computing.

Object Recognition and Feature Extraction from Imagery : the Feature Analyst ® Approach

David W. Opitz, Jessie Blundell, 2006 .

Empirical Comparison of Automated Image Recognition Techniques

David W. Opitz, William Bain, 1999, SIP.

An empirical evaluation of bagging and boosting for artificial neural networks

David W. Opitz, Richard Maclin, R. Maclin, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Use of Target Shape and Size in Classification of UXO in Survey Data

David W. Opitz, Jim R. McDonald, Stuart Blundell, 2005 .

Using Heuristic Search to Expand Knowledge-Based Neural Networks

David W. Opitz, Jude Shavlik, 1995 .

Using Genetic Search to Refine Knowledge-based Neural Networks

David W. Opitz, Jude W. Shavlik, J. Shavlik, 1994, ICML.

Feature Extraction from Digital Imagery: A Hierarchical Method

David W. Opitz, Mark Mangrich, Shane Mason, 2001, VIIP.

Dynamically adding symbolically meaningful nodes to knowledge-based neural networks

David W. Opitz, Jude W. Shavlik, J. Shavlik, 1995, Knowl. Based Syst..

A Genetic Algorithm Approach for Creating Neural-Network Ensembles

David W. Opitz, Jude Shavlik, J. Shavlik, 1999 .

An Empirical Evaluation of Bagging and Boosting

David W. Opitz, Richard Maclin, R. Maclin, 1997, AAAI/IAAI.

Machine Learning Approach for Target Selection and Threat Classification of Wide Area Survey Data

David W. Opitz, Jim R. McDonald, Stuart Blundell, 2007 .

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

David W. Opitz, Subhash C. Basak, Brian D. Gute, 2000, J. Chem. Inf. Comput. Sci..

Actively Searching for an E(cid:11)ective Neural-Network Ensemble

David W. Opitz, Jude W. Shavlik, J. Shavlik, 1996 .

Use of Statistical And Neural Net Methods In Predicting Toxicity Of Chemicals: A Hierarchical QSAR Approach

David W. Opitz, Subhash C. Basak, Brian D. Gute, 2007 .

AN INTEGRATED APPROACH TO HYPERSPECTRAL FEATURE EXTRACTION

David W. Opitz, Stuart Blundell, 2008 .

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

David W. Opitz, D. Opitz, 1997, ICML.

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

David W. Opitz, D. Opitz, 1996, Technical Report / University of Wisconsin, Madison / Computer Sciences Department.

Software for Partly Automated Recognition of Targets

David W. Opitz, Mark Mangrich, William Bain, 2002 .

Hazard assessment modeling: an evolutionary ensemble approach

David W. Opitz, Subhash C. Basak, Brian D. Gute, 1999 .

Modeling User Tendencies when Classifying Images

David W. Opitz, Michael D. Sweet, 1999, SIP.

GROUND SURFACE EXTRACTION FROM SIDE-SCAN (VEHICULAR) LIDAR

David W. Opitz, Rajendran Rao, Abraham Konda, 2006 .