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» Classifying Problems into Complexity Classes
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SAC
2008
ACM
15 years 6 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ECAL
2005
Springer
15 years 12 months ago
Evolutionary Transitions as a Metaphor for Evolutionary Optimisation
Abstract. This paper proposes a computational model for solving optimisation problems that mimics the principle of evolutionary transitions in individual complexity. More specific...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 6 months ago
Fast-Group-Decodable STBCs via Codes over GF(4)
Abstract--In this paper we construct low ML decoding complexity STBCs by using the Pauli matrices as linear dispersion matrices. In this case the Hurwitz-Radon orthogonality condit...
Natarajan Lakshmi Prasad, B. Sundar Rajan
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
16 years 7 months ago
Scalable Rule-Based Gene Expression Data Classification
Abstract-- Current state-of-the-art association rule-based classifiers for gene expression data operate in two phases: (i) Association rule mining from training data followed by (i...
Mark A. Iwen, Willis Lang, Jignesh M. Patel
DATAMINE
2002
169views more  DATAMINE 2002»
15 years 6 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish