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» MCA Based Performance Evaluation of Project Selection
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ECML
2007
Springer
15 years 5 months ago
Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA
The stability of sample based algorithms is a concept commonly used for parameter tuning and validity assessment. In this paper we focus on two well studied algorithms, LSI and PCA...
Dimitrios Mavroeidis, Michalis Vazirgiannis
DATAMINE
2002
125views more  DATAMINE 2002»
14 years 11 months ago
High-Performance Commercial Data Mining: A Multistrategy Machine Learning Application
We present an application of inductive concept learning and interactive visualization techniques to a large-scale commercial data mining project. This paper focuses on design and c...
William H. Hsu, Michael Welge, Thomas Redman, Davi...
ICPR
2008
IEEE
16 years 20 days ago
A method of feature selection using contribution ratio based on boosting
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...
Masamitsu Tsuchiya, Hironobu Fujiyoshi
AAAI
2008
15 years 1 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
IACR
2011
134views more  IACR 2011»
13 years 11 months ago
Efficient Implementation of Grand Cru with TI C6x+ Processor
Grand Cru, a candidate cipher algorithm of NESSIE project, is based on the strategy of multiple layered security and derived from AES-128. This algorithm was not selected for secon...
Azhar Ali Khan, Ghulam Murtaza