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131
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PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 10 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
135
Voted
PKDD
2009
Springer
152views Data Mining» more  PKDD 2009»
15 years 10 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
140
Voted
JECR
2002
133views more  JECR 2002»
15 years 3 months ago
From Design Features to Financial Performance: A Comprehensive Model of Design Principles for Online Stock Trading Sites
As e-business grows rapidly, interests in design principles for e-business web sites are increasing. A few studies have suggested design principles with concrete design features, ...
YoungSu Lee, Jinwoo Kim
145
Voted
CSMR
2007
IEEE
15 years 10 months ago
A Feature-Oriented Adaptive Component Model for Dynamic Evolution
Dynamic adaptation has been an essential requirement for more and more business systems. Some research works have focused on the structural or behavioral changes of adaptive progr...
Xin Peng, Yijian Wu, Wenyun Zhao
145
Voted
CSMR
2004
IEEE
15 years 7 months ago
Supporting Architectural Restructuring by Analyzing Feature Models
In order to lower the risk, reengineering projects aim at high reuse rates. Therefore, tasks like architectural restructuring have to be performed in a way that developed new syst...
Ilian Pashov, Matthias Riebisch, Ilka Philippow