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» Approximating Component Selection
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PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
14 years 1 months ago
Feature Selection for Value Function Approximation Using Bayesian Model Selection
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...
Tobias Jung, Peter Stone
CORR
2011
Springer
168views Education» more  CORR 2011»
13 years 1 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
CBSE
2008
Springer
13 years 9 months ago
A Component Selection Framework for COTS Libraries
Component-based software engineering proposes building complex applications from COTS (Commercial Off-The-Shelf) organized into component markets. Therefore, the main development e...
Bart George, Régis Fleurquin, Salah Sadou
BMCBI
2010
178views more  BMCBI 2010»
13 years 7 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
OSS
2007
Springer
14 years 1 months ago
Open Source Collaboration for Fostering Off-The-Shelf Components Selection
Abstract. The use of Off-The-Shelf software components in ComponentBased Development implies many challenges. One of them is the lack of available and well-suited data to support s...
Claudia P. Ayala, Carl-Fredrik Sørensen, Re...