David C. Wilkins

36 papers A* 7B 2C 2Journal 12Unranked 12
YearRankTypeTitle / Venue / Authors
2013 J jnl
Minimum Error Tree Decomposition
CoRR
Lifu Liu, Yong Ma, David C. Wilkins, Zhaoqi Bian, Xiaoxin Ying
2011 J jnl
Initialization and Restart in Stochastic Local Search: Computing a Most Probable Explanation in Bayesian Networks.
IEEE Trans. Knowl. Data Eng.
Ole J. Mengshoel, David C. Wilkins, Dan Roth
2011 J jnl
Portfolios in Stochastic Local Search: Efficiently Computing Most Probable Explanations in Bayesian Networks.
J. Autom. Reason.
Ole J. Mengshoel, Dan Roth, David C. Wilkins
2006 J jnl
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering.
Artif. Intell.
Ole J. Mengshoel, David C. Wilkins, Dan Roth
2006 J jnl
ML-TIPN: An Algorithm for Automated Acquisition of Domain Models based on Time Interval Petri Nets.
J. Multiple Valued Log. Soft Comput.
Vadim Bulitko, David C. Wilkins
2005 A* conf
Learning Strategies for Open-Domain Natural Language Question Answering.
IJCAI
Eugene Grois, David C. Wilkins
2005 A* conf
Learning strategies for story comprehension: a reinforcement learning approach.
ICML
Eugene Grois, David C. Wilkins
2005 — conf
Machine Learning for Time Interval Petri Nets.
Australian Conference on Artificial Intelligence
Vadim Bulitko, David C. Wilkins
2003 J jnl
Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets.
Artif. Intell.
Vadim Bulitko, David C. Wilkins
2002 J jnl
Training for Crisis Decision-Making: Psychological Issues and Computer-Based Solutions.
J. Manag. Inf. Syst.
Janet A. Sniezek, David C. Wilkins, Patrick L. Wadlington, Michael R. Baumann
2001 — conf
Advanced Training for Crisis Decision Making: Simulation, Critiquing, and Immersive Interfaces.
HICSS
Janet A. Sniezek, David C. Wilkins, Patrick L. Wadlington
2000 J jnl
A Multistrategy Approach to Classifier Learning from Time Series.
Mach. Learn.
William H. Hsu, Sylvian R. Ray, David C. Wilkins
2000 B conf
CoRaven: model-based design of a cognitive tool for real-time intelligence monitoring and analysis.
SMC
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
1999 — conf
Automated Instructor Assistant for Ship Damage Control.
AAAI/IAAI
Vadim Bulitko, David C. Wilkins
1999 — conf
Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems.
HICSS
David C. Wilkins, Patricia M. Jones, Robin Bargar, Caroline C. Hayes, Oleksandr Chernychenko
1998 — conf
Bayesian Network Models for Generation of Crisis Management Training Scenarios.
AAAI/IAAI
Eugene Grois, William H. Hsu, Mikhail Voloshin, David C. Wilkins
1998 B conf
CoRAVEN: modeling and design of a multimedia intelligent infrastructure for collaborative intelligence analysis.
SMC
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
1998 — conf
Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching.
Evolutionary Programming
Ole J. Mengshoel, David C. Wilkins
1997 C conf
Temporal Control Structures in Expert Critiquing Systems.
TIME
Surya Ramachandran, David C. Wilkins
1996 — conf
ReCognition and Critiquing of Erroneous Agent Actions.
Agent Modeling
Ole J. Mengshoel, David C. Wilkins
1994 A* conf
Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach.
AAAI
Steven K. Donoho, David C. Wilkins
1994 A* conf
Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach.
AAAI
Steven K. Donoho, David C. Wilkins
1994 J jnl
The Refinement of Probabilistic Rule Sets: Sociopathic Interactions.
Artif. Intell.
David C. Wilkins, Yong Ma
1994 J jnl
Using apprenticeship techniques to guide constructive induction.
Knowl. Acquis.
Steven K. Donoho, David C. Wilkins
1991 — conf
Computer Modelling of Acquisition Orders in Child Language.
ML
Sheldon Nicholl, David C. Wilkins
1991 — conf
Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method.
ML
Yong Ma, David C. Wilkins
1991 C conf
Induction of Uncertain Rules and the Sociopathicity Property in Dempster-Shafer Theory.
ECSQARU
Yong Ma, David C. Wilkins
1990 A* conf
Establishing the Coherence of an Evplanation to Improve Refinement of an Incomplete Knowledge Base.
AAAI
Young-Tack Park, David C. Wilkins
1989 — conf
Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory.
ML
David C. Wilkins, Kok-Wah Tan
1988 A* conf
Knowledge Base Refinement Using Apprenticeship Learning Techniques.
AAAI
David C. Wilkins
1988 — conf
Machine Learning Techniques for Knowledge-Based Systems.
SCAI
David C. Wilkins
1987 — —
Apprenticeship Learning Techniques for Knowledge Based Systems.
David C. Wilkins
1987 — conf
Knowledge Base Refinement Using Apprenticeship Learning Techniques.
Knowledge Representation and Organization in Machine Learning
David C. Wilkins
1987 J jnl
Knowledge Base Refinement by Monitoring Abstract Control Knowledge.
Int. J. Man Mach. Stud.
David C. Wilkins, William J. Clancey, Bruce G. Buchanan
1986 J jnl
News and Notes.
Mach. Learn.
Thomas G. Dietterich, Nicholas S. Flann, David C. Wilkins
1986 A* conf
On Debugging Rule Sets When Reasoning Under Uncertainty.
AAAI
David C. Wilkins, Bruce G. Buchanan