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» Measuring the Complexity of Classification Problems
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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 8 months ago
Integrating feature and instance selection for text classification
Instance selection and feature selection are two orthogonal methods for reducing the amount and complexity of data. Feature selection aims at the reduction of redundant features i...
Dimitris Fragoudis, Dimitris Meretakis, Spiros Lik...
CADE
2004
Springer
14 years 8 months ago
Automatic Generation of Classification Theorems for Finite Algebras
Abstract. Classifying finite algebraic structures has been a major motivation behind much research in pure mathematics. Automated techniques have aided in this process, but this ha...
Simon Colton, Andreas Meier, Volker Sorge, Roy L. ...
ASAP
2004
IEEE
102views Hardware» more  ASAP 2004»
13 years 11 months ago
A Hierarchical Classification Scheme to Derive Interprocess Communication in Process Networks
The Compaan compiler automatically derives a Process Network (PN) description from an application written in Matlab. The basic element of a PN is a Producer/Consumer (P/C) pair. F...
Alexandru Turjan, Bart Kienhuis, Ed F. Deprettere
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
13 years 11 months ago
LUT-Based Adaboost for Gender Classification
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
Bo Wu, Haizhou Ai, Chang Huang
KDD
1998
ACM
442views Data Mining» more  KDD 1998»
14 years 2 days ago
BAYDA: Software for Bayesian Classification and Feature Selection
BAYDA is a software package for flexible data analysis in predictive data mining tasks. The mathematical model underlying the program is based on a simple Bayesian network, the Na...
Petri Kontkanen, Petri Myllymäki, Tomi Siland...