On Debugging Rule Sets When Reasoning Under Uncertainty. - David C. Wilkins; Bruce G. Buchanan (AAAI, 1986)

News and Notes. - Thomas G. Dietterich; Nicholas S. Flann; David C. Wilkins (Mach. Learn., 1986)

Knowledge Base Refinement by Monitoring Abstract Control Knowledge. - David C. Wilkins; William J. Clancey; Bruce G. Buchanan (Int. J. Man Mach. Stud., 1987)

Apprenticeship Learning Techniques for Knowledge Based Systems. - David C. Wilkins (1987)

Knowledge Base Refinement Using Apprenticeship Learning Techniques. - David C. Wilkins (AAAI, 1988)

Machine Learning Techniques for Knowledge-Based Systems. - David C. Wilkins (SCAI, 1988)

Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory. - David C. Wilkins; Kok-Wah Tan (ML, 1989)

Establishing the Coherence of an Evplanation to Improve Refinement of an Incomplete Knowledge Base. - Young-Tack Park; David C. Wilkins (AAAI, 1990)

Induction of Uncertain Rules and the Sociopathicity Property in Dempster-Shafer Theory. - Yong Ma; David C. Wilkins (ECSQARU, 1991)

Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method. - Yong Ma; David C. Wilkins (ML, 1991)

Computer Modelling of Acquisition Orders in Child Language. - Sheldon Nicholl; David C. Wilkins (ML, 1991)

Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach. - Steven K. Donoho; David C. Wilkins (AAAI, 1994)

The Refinement of Probabilistic Rule Sets: Sociopathic Interactions. - David C. Wilkins; Yong Ma (Artif. Intell., 1994)

Using apprenticeship techniques to guide constructive induction. - Steven K. Donoho; David C. Wilkins (Knowl. Acquis., 1994)

ReCognition and Critiquing of Erroneous Agent Actions. - Ole J. Mengshoel; David C. Wilkins (Agent Modeling, 1996)

Temporal Control Structures in Expert Critiquing Systems. - Surya Ramachandran; David C. Wilkins (TIME, 1997)

Bayesian Network Models for Generation of Crisis Management Training Scenarios. - Eugene Grois; William H. Hsu; Mikhail Voloshin; David C. Wilkins (AAAI/IAAI, 1998)

Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching. - Ole J. Mengshoel; David C. Wilkins (Evolutionary Programming, 1998)

CoRAVEN: modeling and design of a multimedia intelligent infrastructure for collaborative intelligence analysis. - Patricia M. Jones; Caroline C. Hayes; David C. Wilkins; Robin Bargar; Janet A. Sniezek; Peter Asaro; Ole J. Mengshoel; D. Kessler; Martin J. Lucenti Jr.; Insook Choi; Nan Tu; J. L. Schlabach (SMC, 1998)

Automated Instructor Assistant for Ship Damage Control. - Vadim Bulitko; David C. Wilkins (AAAI/IAAI, 1999)

Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems. - David C. Wilkins; Patricia M. Jones; Robin Bargar; Caroline C. Hayes; Oleksandr Chernychenko (HICSS, 1999)

CoRaven: model-based design of a cognitive tool for real-time intelligence monitoring and analysis. - Caroline C. Hayes; Robin R. Penner; Hakan Ergan; Li Lu; Nan Tu; Patricia M. Jones; Peter Asaro; Robin Bargar; Oleksandr Chernyshenko; Insook Choi; Nora Danner; Ole J. Mengshoel; et al. (SMC, 2000)

A Multistrategy Approach to Classifier Learning from Time Series. - William H. Hsu; Sylvian R. Ray; David C. Wilkins (Mach. Learn., 2000)

Advanced Training for Crisis Decision Making: Simulation, Critiquing, and Immersive Interfaces. - Janet A. Sniezek; David C. Wilkins; Patrick L. Wadlington (HICSS, 2001)

Training for Crisis Decision-Making: Psychological Issues and Computer-Based Solutions. - Janet A. Sniezek; David C. Wilkins; Patrick L. Wadlington; Michael R. Baumann (J. Manag. Inf. Syst., 2002)

Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets. - Vadim Bulitko; David C. Wilkins (Artif. Intell., 2003)

Machine Learning for Time Interval Petri Nets. - Vadim Bulitko; David C. Wilkins (Australian Conference on Artificial Intelligence, 2005)

Learning strategies for story comprehension: a reinforcement learning approach. - Eugene Grois; David C. Wilkins (ICML, 2005)

Learning Strategies for Open-Domain Natural Language Question Answering. - Eugene Grois; David C. Wilkins (IJCAI, 2005)

Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering. - Ole J. Mengshoel; David C. Wilkins; Dan Roth 001 (Artif. Intell., 2006)

ML-TIPN: An Algorithm for Automated Acquisition of Domain Models based on Time Interval Petri Nets. - Vadim Bulitko; David C. Wilkins (J. Multiple Valued Log. Soft Comput., 2006)

Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks. - Ole J. Mengshoel; Dan Roth 001; David C. Wilkins (J. Autom. Reason., 2011)

Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks. - Ole J. Mengshoel; David C. Wilkins; Dan Roth 001 (IEEE Trans. Knowl. Data Eng., 2011)

Minimum Error Tree Decomposition - Lifu Liu; Yong Ma; David C. Wilkins; Zhaoqi Bian; Xiaoxin Ying (CoRR, 2013)