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HIS
2008
15 years 6 months ago
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
Salvador García, Francisco Herrera
ACL
2004
15 years 6 months ago
Convolution Kernels with Feature Selection for Natural Language Processing Tasks
Convolution kernels, such as sequence and tree kernels, are advantageous for both the concept and accuracy of many natural language processing (NLP) tasks. Experiments have, howev...
Jun Suzuki, Hideki Isozaki, Eisaku Maeda
127
Voted
VMV
2001
119views Visualization» more  VMV 2001»
15 years 6 months ago
Improving Feature Tracking by Robust Points of interest Selection
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
Chafik Kermad, Christophe Collewet
AUTOMATICA
2007
62views more  AUTOMATICA 2007»
15 years 5 months ago
Further results on structural assignment of linear systems via sensor selection
The problem of assigning structural properties of a linear system through sensor selection is, for a given pair (A, B), to find an output pair (C, D) such that the resulting syst...
Xinmin Liu, Zongli Lin, Ben M. Chen
CORR
2007
Springer
108views Education» more  CORR 2007»
15 years 5 months ago
Scuba Search : when selection meets innovation
— We proposed a new search heuristic using the scuba diving metaphor. This approach is based on the concept of evolvability and tends to exploit neutrality in fitness landscape....
Sébastien Vérel, Philippe Collard, M...