D. C. Wilkins

David C. Wilkins, Caroline C. Hayes, Robin Bargar, 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

Readings in Knowledge Acquisition and Learning: Automating the Construction and Improvement of Expert Systems

David C. Wilkins, Bruce G. Buchanan, D. C. Wilkins, 1992 .

Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering

David C. Wilkins, Dan Roth, Ole J. Mengshoel, 2006, Artif. Intell..

Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching

David C. Wilkins, Ole J. Mengshoel, D. C. Wilkins, 1998, Evolutionary Programming.

A Multistrategy Approach to Classifier Learning from Time Series

David C. Wilkins, Sylvian R. Ray, William H. Hsu, 2004, Machine Learning.

Abstraction and Aggregation in Belief Networks

David C. Wilkins, Ole J. Mengshoel, D. C. Wilkins, 1997 .

Training for Crisis Decision-Making: Psychological Issues and Computer-Based Solutions

Janet A. Sniezek, David C. Wilkins, Michael R. Baumann, 2002, J. Manag. Inf. Syst..

Advanced training for crisis decision making: simulation, critiquing, and immersive interfaces

Janet A. Sniezek, David C. Wilkins, Patrick L. Wadlington, 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

The Refinement of Probabilistic Rule Sets: Sociopathic Interactions

David C. Wilkins, Yong Ma, D. C. Wilkins, 1994, Artif. Intell..

Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets

David C. Wilkins, Vadim Bulitko, D. C. Wilkins, 2003, Artif. Intell..

Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach

David C. Wilkins, Steven K. Donoho, D. C. Wilkins, 1994, AAAI.

Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory

David C. Wilkins, D. C. Wilkins, Kok-Wah Tan, 1989, ML.

Knowledge Base Refinement Using Apprenticeship Learning Techniques

David C. Wilkins, D. C. Wilkins, 1988, AAAI.

Knowledge Base Refinement by Monitoring Abstract Control Knowledge

William J. Clancey, David C. Wilkins, Bruce G. Buchanan, 1987, Int. J. Man Mach. Stud..

Machine Learning Techniques for Knowledge-Based Systems

David C. Wilkins, D. C. Wilkins, 1988, SCAI.

Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks

D. C. Wilkins, D. Roth, O. Mengshoel, 2011, IEEE Transactions on Knowledge and Data Engineering.

Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks

D. C. Wilkins, D. Roth, O. Mengshoel, 2011, Journal of Automated Reasoning.

Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method

David C. Wilkins, Yong Ma, D. C. Wilkins, 1991, ML.