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FLAIRS
2001
15 years 9 months ago
A Method for Evaluating Elicitation Schemes for Probabilities
We present an objective approach for evaluating probability elicitation methods in probabilistic models. Our method draws on ideas from research on learning Bayesian networks: if ...
Haiqin Wang, Denver Dash, Marek J. Druzdzel
AIPS
2000
15 years 9 months ago
Exploiting State Constraints in Heuristic State-Space Planning
In the last years, some very promising domain independent heuristic state-space planners for STRIPS worlds, like ASP/HSP, HSPr and GRT, have been presented. These planners achieve...
Ioannis Refanidis, Ioannis P. Vlahavas
FLAIRS
1998
15 years 9 months ago
Interactively Training Pixel Classifiers
Manual generation of training examples for supervised learning is an expensive process. One way to reduce this cost is to produce training instances that are highly informative. T...
Justus H. Piater, Edward M. Riseman, Paul E. Utgof...
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AAAI
1992
15 years 9 months ago
Automatic Programming of Robots Using Genetic Programming
The goal in automatic programming is to get a computer to perform a task by telling it what needs to be done, rather than by explicitly programming it. This paper considers the ta...
John R. Koza, James Rice
IAT
2010
IEEE
15 years 5 months ago
Using a Social Orientation Model for the Evolution of Cooperative Societies
We utilize evolutionary game theory to study the evolution of cooperative societies and the behaviors of individual agents (i.e., players) in such societies. We present a novel pla...
Kan-Leung Cheng, Inon Zuckerman, Ugur Kuter, Dana ...