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EWCBR
2006
Springer
15 years 10 months ago
Complexity Profiling for Informed Case-Base Editing
Abstract. The contents of the case knowledge container is critical to the performance of case-based classification systems. However the knowledge engineer is given little support i...
Stewart Massie, Susan Craw, Nirmalie Wiratunga
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
16 years 23 days ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
SMC
2010
IEEE
132views Control Systems» more  SMC 2010»
15 years 5 months ago
Selection of SIFT feature points for scene description in robot vision
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
Yuya Utsumi, Masahiro Tsukada, Hirokazu Madokoro, ...
ICCS
2007
Springer
16 years 22 days ago
Reducing the Representation Complexity of Lattice-Based Taxonomies
Abstract. Representing concept lattices constructed from large contexts often results in heavy, complex diagrams that can be impractical to handle and, eventually, to make sense of...
Sergei O. Kuznetsov, Sergei A. Obiedkov, Camille R...
ILP
2004
Springer
15 years 12 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...