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» Feature selection for ranking using boosted trees
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MCS
2004
Springer
15 years 5 months ago
A Comparison of Ensemble Creation Techniques
We experimentally evaluate bagging and six other randomization-based approaches to creating an ensemble of decision-tree classifiers. Bagging uses randomization to create multipl...
Robert E. Banfield, Lawrence O. Hall, Kevin W. Bow...
PAMI
2008
196views more  PAMI 2008»
14 years 11 months ago
Distance Learning for Similarity Estimation
In this paper, we present a general guideline to find a better distance measure for similarity estimation based on statistical analysis of distribution models and distance function...
Jie Yu, Jaume Amores, Nicu Sebe, Petia Radeva, Qi ...
ICDAR
2011
IEEE
13 years 11 months ago
Math Spotting: Retrieving Math in Technical Documents Using Handwritten Query Images
—A method for locating mathematical expressions in document images without the use of optical character recognition is presented. An index of document regions is produced from re...
Richard Zanibbi, Li Yu
BMCBI
2006
200views more  BMCBI 2006»
14 years 12 months ago
Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
Background: Numerous feature selection methods have been applied to the identification of differentially expressed genes in microarray data. These include simple fold change, clas...
Ian B. Jeffery, Desmond G. Higgins, Aedín C...
AUSAI
2006
Springer
15 years 1 months ago
An Efficient Alternative to SVM Based Recursive Feature Elimination with Applications in Natural Language Processing and Bioinfo
The SVM based Recursive Feature Elimination (RFE-SVM) algorithm is a popular technique for feature selection, used in natural language processing and bioinformatics. Recently it wa...
Justin Bedo, Conrad Sanderson, Adam Kowalczyk