A Technique To Solve Real-World Problems In Text Classification, Computer Vision, And Bioinformatics
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 10
Abstract
The key confront of online feature selection is how to create precise prediction for an example by means of a small number of active features. This is in difference to the traditional setup of online knowledge where all the features can be used for forecast. We effort to undertake this confront by learn sparsely regularization and truncation method. We present novel algorithms to resolve each of the two problems and offer their recital analysis. We assess the recital of the proposed algorithms for online feature selection on quite a few public data sets, and display their applications to real-world problems as well as image classification in computer vision and microarray gene expression analysis in bioinformatics.
Authors and Affiliations
A. Suryateja, K. Rajesh
Keywords
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