2006 |
27 | EE | Ole J. Mengshoel,
David C. Wilkins,
Dan Roth:
Controlled generation of hard and easy Bayesian networks: Impact on maximal clique size in tree clustering.
Artif. Intell. 170(16-17): 1137-1174 (2006) |
2005 |
26 | EE | Vadim Bulitko,
David C. Wilkins:
Machine Learning for Time Interval Petri Nets.
Australian Conference on Artificial Intelligence 2005: 959-965 |
25 | EE | Eugene Grois,
David C. Wilkins:
Learning strategies for story comprehension: a reinforcement learning approach.
ICML 2005: 257-264 |
24 | EE | Eugene Grois,
David C. Wilkins:
Learning Strategies for Open-Domain Natural Language Question Answering.
IJCAI 2005: 1054-1060 |
2003 |
23 | EE | Vadim Bulitko,
David C. Wilkins:
Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets.
Artif. Intell. 144(1-2): 95-124 (2003) |
2001 |
22 | EE | Janet A. Sniezek,
David C. Wilkins,
Patrick Wadlington:
Advanced Training for Crisis Decision Making: Simulation, Critiquing, and Immersive Interfaces.
HICSS 2001 |
2000 |
21 | | William H. Hsu,
Sylvian R. Ray,
David C. Wilkins:
A Multistrategy Approach to Classifier Learning from Time Series.
Machine Learning 38(1-2): 213-236 (2000) |
1999 |
20 | | Vadim Bulitko,
David C. Wilkins:
Automated Instructor Assistant for Ship Damage Control.
AAAI/IAAI 1999: 778-785 |
19 | EE | David C. Wilkins,
Patricia M. Jones,
Roger Bargar,
Caroline C. Hayes,
Oleksandr Chernychenko:
Collaborative Decision Making and Intelligent Reasoning in Judge Advisor Systems.
HICSS 1999 |
1998 |
18 | | Eugene Grois,
William H. Hsu,
Mikhail Voloshin,
David C. Wilkins:
Bayesian Network Models for Generation of Crisis Management Training Scenarios.
AAAI/IAAI 1998: 1113-1120 |
17 | | Ole J. Mengshoel,
David C. Wilkins:
Genetic Algorithms for Belief Network Inference: The Role of Scaling and Niching.
Evolutionary Programming 1998: 547-556 |
1997 |
16 | EE | Surya Ramachandran,
David C. Wilkins:
Temporal Control Structures in Expert Critiquing Systems.
TIME 1997: 160-167 |
1996 |
15 | | Ole J. Mengshoel,
David C. Wilkins:
ReCognition and Critiquing of Erroneous Agent Actions.
Agent Modeling 1996: 61-68 |
1994 |
14 | | Steven K. Donoho,
David C. Wilkins:
Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach.
AAAI 1994: 1443 |
13 | | Steven K. Donoho,
David C. Wilkins:
Exploiting the Ordering of Observed Problem-Solving Steps for Knowledge Base Refinement: An Apprenticeship Approach.
AAAI 1994: 569-575 |
12 | | David C. Wilkins,
Yong Ma:
The Refinement of Probabilistic Rule Sets: Sociopathic Interactions.
Artif. Intell. 70(1-2): 1-32 (1994) |
1991 |
11 | | Yong Ma,
David C. Wilkins:
Induction of Uncertain Rules and the Sociopathicity Property in Dempster-Shafer Theory.
ECSQARU 1991: 238-245 |
10 | | Sheldon Nicholl,
David C. Wilkins:
Computer Modelling of Acquisition Orders in Child Language.
ML 1991: 100-104 |
9 | | Yong Ma,
David C. Wilkins:
Improving the Performance of Inconsistent Knowledge Bases via Combined Optimization Method.
ML 1991: 23-27 |
1990 |
8 | | Young-Tack Park,
David C. Wilkins:
Establishing the Coherence of an Evplanation to Improve Refinement of an Incomplete Knowledge Base.
AAAI 1990: 511-516 |
1989 |
7 | | David C. Wilkins,
Kok-Wah Tan:
Knowledge Base Refinement as Improving an Incorrect, Inconsistent and Incomplete Domain Theory.
ML 1989: 332-339 |
1988 |
6 | | David C. Wilkins:
Knowledge Base Refinement Using Apprenticeship Learning Techniques.
AAAI 1988: 646-653 |
5 | | David C. Wilkins:
Machine Learning Techniques for Knowledge-Based Systems.
SCAI 1988: 359-360 |
1987 |
4 | | David C. Wilkins:
Knowledge Base Refinement Using Apprenticeship Learning Techniques.
Knowledge Representation and Organization in Machine Learning 1987: 247-257 |
3 | | David C. Wilkins,
William J. Clancey,
Bruce G. Buchanan:
Knowledge Base Refinement by Monitoring Abstract Control Knowledge.
International Journal of Man-Machine Studies 27(3): 281-293 (1987) |
1986 |
2 | | David C. Wilkins,
Bruce G. Buchanan:
On Debugging Rule Sets When Reasoning Under Uncertainty.
AAAI 1986: 448-454 |
1 | | Thomas G. Dietterich,
Nicholas S. Flann,
David C. Wilkins:
News and Notes.
Machine Learning 1(2): 227-242 (1986) |