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CGF
2008
131views more  CGF 2008»
13 years 10 months ago
Concurrent Viewing of Multiple Attribute-Specific Subspaces
In this work we present a point classification algorithm for multi-variate data. Our method is based on the concept of attribute subspaces, which are derived from a set of user sp...
Robert Sisneros, C. Ryan Johnson, Jian Huang
HIS
2004
13 years 11 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
PKDD
2000
Springer
116views Data Mining» more  PKDD 2000»
14 years 1 months ago
Prior Knowledge in Economic Applications of Data Mining
A common form of prior knowledge in economic modelling concerns the monotonicity of relations between the dependent and explanatory variables. Monotonicity may also be an important...
A. J. Feelders
CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 10 months ago
Feature Selection By KDDA For SVM-Based MultiView Face Recognition
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
BMCBI
2010
118views more  BMCBI 2010»
13 years 10 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...