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126
Voted
PKDD
2009
Springer
15 years 9 months ago
2009
Springer
Abstract. Feature selection in reinforcement learning (RL), i.e. choosing basis functions such that useful approximations of the unkown value function can be obtained, is one of th...
110
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
In this paper we present a minimum sphere covering approach to pattern classification that seeks to construct a minimum number of spheres to represent the training data and formul...
115
Voted
SPLC
2008
15 years 4 months ago
2008
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
114
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GECCO
2005
Springer
15 years 8 months ago
2005
Springer
The problem attempted in this paper is to select a sample from a large set where the sample is required to have a particular average property. The problem can be expressed as an o...
126
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AIEDU
2010
14 years 9 months ago
2010
Although worked-out examples play a key role in cognitive skill acquisition, research demonstrates that students have various levels of meta-cognitive abilities for using examples ...