David C. Wilkins

According to our database, David C. Wilkins authored at least 34 papers between 1986 and 2013.

Collaborative distances:

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

2013

Minimum Error Tree Decomposition

Lifu Liu, Yong Ma, David C. Wilkins, Zhaoqi Bian, Xiaoxin Ying

CoRR, 2013

2011

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

Ole J. Mengshoel, David C. Wilkins, Dan Roth

IEEE Trans. Knowl. Data Eng., 2011

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

Ole J. Mengshoel, Dan Roth, David C. Wilkins

J. Autom. Reason., 2011

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

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

Ole J. Mengshoel, David C. Wilkins, Dan Roth

Artif. Intell., 2006

2005

Learning Strategies for Open-Domain Natural Language Question Answering.

Eugene Grois, David C. Wilkins

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Learning strategies for story comprehension: a reinforcement learning approach.

Eugene Grois, David C. Wilkins

Proceedings of the Machine Learning, 2005

Machine Learning for Time Interval Petri Nets.

Vadim Bulitko, David C. Wilkins

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2003

Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets.

Vadim Bulitko, David C. Wilkins

Artif. Intell., 2003

2002

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

2001

Advanced Training for Crisis Decision Making: Simulation, Critiquing, and Immersive Interfaces.

Janet A. Sniezek, David C. Wilkins, Patrick L. Wadlington

Proceedings of the 34th Annual Hawaii International Conference on System Sciences (HICSS-34), 2001

2000

A Multistrategy Approach to Classifier Learning from Time Series.

William H. Hsu, Sylvian R. Ray, David C. Wilkins

Mach. Learn., 2000

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, Janet A. Sniezek, David C. Wilkins

Proceedings of the IEEE International Conference on Systems, 2000

1999

Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems.

David C. Wilkins, Patricia M. Jones, Robin Bargar, Caroline C. Hayes, Oleksandr Chernychenko

Proceedings of the 32nd Annual Hawaii International Conference on System Sciences (HICSS-32), 1999

Automated Instructor Assistant for Ship Damage Control.

Vadim Bulitko, David C. Wilkins

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

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

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

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

Ole J. Mengshoel, David C. Wilkins

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

Bayesian Network Models for Generation of Crisis Management Training Scenarios.

Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins

Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

1997

Temporal Control Structures in Expert Critiquing Systems.

Surya Ramachandran, David C. Wilkins

Proceedings of the 4th International Workshop on Temporal Representation and Reasoning, 1997

1996

ReCognition and Critiquing of Erroneous Agent Actions.

Ole J. Mengshoel, David C. Wilkins

Proceedings of the Agent Modeling, Papers from the 1996 AAAI Workshop, 1996

1994

Using apprenticeship techniques to guide constructive induction.

Steven K. Donoho, David C. Wilkins

Knowl. Acquis., 1994

The Refinement of Probabilistic Rule Sets: Sociopathic Interactions.

David C. Wilkins, Yong Ma

Artif. Intell., 1994

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

Steven K. Donoho, David C. Wilkins

Proceedings of the 12th National Conference on Artificial Intelligence, Seattle, WA, USA, July 31, 1994

1991

Computer Modelling of Acquisition Orders in Child Language.

Sheldon Nicholl, David C. Wilkins

Proceedings of the Eighth International Workshop (ML91), 1991

Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method.

Yong Ma, David C. Wilkins

Proceedings of the Eighth International Workshop (ML91), 1991

Induction of Uncertain Rules and the Sociopathicity Property in Dempster-Shafer Theory.

Yong Ma, David C. Wilkins

Proceedings of the Symbolic and Quantitative Approaches to Reasoning and Uncertainty, 1991

1990

Establishing the Coherence of an Evplanation to Improve Refinement of an Incomplete Knowledge Base.

Young-Tack Park, David C. Wilkins

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

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

David C. Wilkins, Kok-Wah Tan

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

1988

Machine Learning Techniques for Knowledge-Based Systems.

David C. Wilkins

Proceedings of the First Scandinavian Conference on Artificial Intelligence 1988, 1988

Knowledge Base Refinement Using Apprenticeship Learning Techniques.

David C. Wilkins

Proceedings of the 7th National Conference on Artificial Intelligence, 1988

1987

Apprenticeship Learning Techniques for Knowledge Based Systems.

David C. Wilkins

PhD thesis, 1987

Knowledge Base Refinement by Monitoring Abstract Control Knowledge.

David C. Wilkins, William J. Clancey, Bruce G. Buchanan

Int. J. Man Mach. Stud., 1987

1986

News and Notes.

Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins

Mach. Learn., 1986

On Debugging Rule Sets When Reasoning Under Uncertainty.

David C. Wilkins, Bruce G. Buchanan

Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986