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GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
15 years 8 months ago
Applicability issues of the real-valued negative selection algorithms
The paper examines various applicability issues of the negative selection algorithms (NSA). Recently, concerns were raised on the use of NSAs, especially those using real-valued r...
Zhou Ji, Dipankar Dasgupta
ICMLA
2008
15 years 6 months ago
New Insights into Learning Algorithms and Datasets
We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...
Jun Won Lee, Christophe G. Giraud-Carrier
SDM
2008
SIAM
133views Data Mining» more  SDM 2008»
15 years 6 months ago
A RELIEF Based Feature Extraction Algorithm
RELIEF is considered one of the most successful algorithms for assessing the quality of features due to its simplicity and effectiveness. It has been recently proved that RELIEF i...
Yijun Sun, Dapeng Wu
ICMLA
2004
15 years 6 months ago
A new landmarker generation algorithm based on correlativity
Landmarking is a recent and promising metalearning strategy, which defines meta-features that are themselves efficient learning algorithms. However, the choice of landmarkers is m...
Daren Ler, Irena Koprinska, Sanjay Chawla
130
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IJCAI
2001
15 years 6 months ago
The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding
A tight integration of Mitchell's version space algorithm with Agrawal et al.'s Apriori algorithm is presented. The algorithm can be used to generate patterns that satis...
Luc De Raedt, Stefan Kramer