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» On learning algorithm selection for classification
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KDD
2002
ACM
126views Data Mining» more  KDD 2002»
14 years 9 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...
LCN
2005
IEEE
14 years 2 months ago
Automated Traffic Classification and Application Identification using Machine Learning
The dynamic classification and identification of network applications responsible for network traffic flows offers substantial benefits to a number of key areas in IP network engi...
Sebastian Zander, Thuy T. T. Nguyen, Grenville J. ...
ACCV
2006
Springer
13 years 10 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
WWW
2009
ACM
14 years 3 months ago
Threshold selection for web-page classification with highly skewed class distribution
We propose a novel cost-efficient approach to threshold selection for binary web-page classification problems with imbalanced class distributions. In many binary-classification ta...
Xiaofeng He, Lei Duan, Yiping Zhou, Byron Dom
ICPR
2006
IEEE
14 years 10 months ago
An Oriented-Contour Point Based Voting Algorithm for Vehicle Type Classification
This article deals with an Oriented-Contour Point based voting algorithm for multiclass vehicle type identification (make and model). The system obtains similar results for equiva...
Maurice Milgram, Pablo Negri, Raphael Poulenard, X...