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GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 9 months ago
Understanding elementary landscapes
The landscape formalism unites a finite candidate solution set to a neighborhood topology and an objective function. This construct can be used to model the behavior of local sea...
Darrell Whitley, Andrew M. Sutton, Adele E. Howe
SIGMOD
2006
ACM
121views Database» more  SIGMOD 2006»
14 years 2 months ago
Derby/S: a DBMS for sample-based query answering
Although approximate query processing is a prominent way to cope with the requirements of data analysis applications, current database systems do not provide integrated and compre...
Anja Klein, Rainer Gemulla, Philipp Rösch, Wo...
CORR
2010
Springer
204views Education» more  CORR 2010»
13 years 6 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon

Publication
1686views
15 years 2 months ago
Information Preserving Color Transformation for Protanopia and Deuteranopia
In this letter, we proposed a new recoloring method for people with protanopic and deuteranopic color deficiencies.We present a color transformation that aims to preserve the color...
Jia-Bin Huang, Yu-Cheng Tseng, Se-In Wu, and Sheng...
ECML
2004
Springer
14 years 1 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner