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ICML
2000
IEEE
16 years 7 months ago
Combining Reinforcement Learning with a Local Control Algorithm
We explore combining reinforcement learning with a hand-crafted local controller in a manner suggested by the chaotic control algorithm of Vincent, Schmitt and Vincent (1994). A c...
Andrew G. Barto, Jette Randløv, Michael T. ...
211
Voted
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
15 years 11 months 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...
DAWAK
2001
Springer
15 years 11 months 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
STOC
1995
ACM
194views Algorithms» more  STOC 1995»
15 years 10 months ago
Transforming cabbage into turnip: polynomial algorithm for sorting signed permutations by reversals
Genomes frequently evolve by reversals ␳(i, j) that transform a gene order ␲1 . . . ␲i␲iϩ1 . . . ␲jϪ1␲j . . . ␲n into ␲1 . . . ␲i␲jϪ1 . . . ␲iϩ1␲j . . ....
Sridhar Hannenhalli, Pavel A. Pevzner
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
15 years 7 months ago
On the use of multi-objective evolutionary algorithms for survival analysis
This paper proposes and evaluates a multi-objective evolutionary algorithm for survival analysis. One aim of survival analysis is the extraction of models from data that approxima...
Christian Setzkorn, Azzam Fouad George Taktak, Ber...