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» Predicting relative performance of classifiers from samples
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SIGCOMM
2005
ACM
14 years 1 months ago
On the predictability of large transfer TCP throughput
Predicting the throughput of large TCP transfers is important for a broad class of applications. This paper focuses on the design, empirical evaluation, and analysis of TCP throug...
Qi He, Constantinos Dovrolis, Mostafa H. Ammar
AUSAI
2001
Springer
13 years 11 months ago
Fast Text Classification Using Sequential Sampling Processes
A central problem in information retrieval is the automated classification of text documents. While many existing methods achieve good levels of performance, they generally require...
Michael D. Lee
ESWA
2010
163views more  ESWA 2010»
13 years 6 months ago
REIT volatility prediction for skew-GED distribution of the GARCH model
This study investigates how specification of return distribution for REIT influences the performance of volatility forecasting using three GARCH models (GARCH-N, GARCH-ST and GARC...
Yen-Hsien Lee, Tung-Yueh Pai
ACCV
2006
Springer
13 years 9 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
CORR
2008
Springer
165views Education» more  CORR 2008»
13 years 7 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,...