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GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 4 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
104
Voted
CPAIOR
2006
Springer
15 years 2 months ago
Conflict-Directed A* Search for Soft Constraints
As many real-world problems involve user preferences, costs, or probabilities, constraint satisfaction has been extended to optimization by generalizing hard constraints to soft co...
Martin Sachenbacher, Brian C. Williams
113
Voted
IJCAI
2007
15 years 2 months ago
Using Linear Programming for Bayesian Exploration in Markov Decision Processes
A key problem in reinforcement learning is finding a good balance between the need to explore the environment and the need to gain rewards by exploiting existing knowledge. Much ...
Pablo Samuel Castro, Doina Precup
110
Voted
NIPS
2007
15 years 2 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...
103
Voted
ESANN
2004
15 years 2 months ago
A Modular Framework for Multi category feature selection in Digital mammography
Many existing researches utilized many different approaches for recognition in digital mammography using various ANN classifier-modeling techniques. Different types of feature extr...
Ranadhir Ghosh, Moumita Ghosh, John Yearwood