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PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
14 years 25 days ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
ICDCIT
2012
Springer
12 years 3 months ago
Decision Making as Optimization in Multi-robot Teams
Abstract. A key challenge in multi-robot teaming research is determining how to properly enable robots to make decisions on actions they should take to contribute to the overall sy...
Lynne E. Parker
DAWAK
2001
Springer
14 years 24 days ago
Optimization Algorithms for Simultaneous Multidimensional Queries in OLAP Environments
Multi-Dimensional Expressions (MDX) provide an interface for asking several related OLAP queries simultaneously. An interesting problem is how to optimize the execution of an MDX q...
Panos Kalnis, Dimitris Papadias
IMCSIT
2010
13 years 6 months ago
ACO with semi-random start applied on MKP
Ant Colony Optimization (ACO) is a stochastic search method that mimics the social behavior of real ants colonies, which manage to establish the shortest route to feeding sources a...
Stefka Fidanova, Pencho Marinov, Krassimir T. Atan...
ICML
2006
IEEE
14 years 9 months ago
Qualitative reinforcement learning
When the transition probabilities and rewards of a Markov Decision Process are specified exactly, the problem can be solved without any interaction with the environment. When no s...
Arkady Epshteyn, Gerald DeJong