1043 search results - page 5 / 209 » Boruta - A System for Feature Selection |
FUZZIEEE
2007
IEEE
14 years 2 months ago
2007
IEEE
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
ISDA
2009
IEEE
14 years 3 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
SMC
2010
IEEE
13 years 7 months ago
2010
IEEE
This paper presents a method for selection of SIFT(Scale-Invariant Feature Transform) feature points using OC-SVM (One Class-Support Vector Machines). We proposed the method for au...
TITB
2008
13 years 8 months ago
2008
Abstract--This study presents a computer-aided diagnosis system using sequential forward floating selection (SFFS) with support vector machine (SVM) to diagnose gastric histology o...