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CORR
2008
Springer
159views Education» more  CORR 2008»
13 years 9 months ago
Face Detection Using Adaboosted SVM-Based Component Classifier
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
Seyyed Majid Valiollahzadeh, Abolghasem Sayadiyan,...
DSS
2006
116views more  DSS 2006»
13 years 9 months ago
Matching knowledge elements in concept maps using a similarity flooding algorithm
Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of con...
Byron Marshall, Hsinchun Chen, Therani Madhusudan
JIPS
2006
72views more  JIPS 2006»
13 years 9 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim
TKDE
2008
123views more  TKDE 2008»
13 years 9 months ago
Explaining Classifications For Individual Instances
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
Marko Robnik-Sikonja, Igor Kononenko
TNN
2008
114views more  TNN 2008»
13 years 9 months ago
Relevance-Based Feature Extraction for Hyperspectral Images
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
Michael J. Mendenhall, Erzsébet Meré...