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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | A Survey on Boosting High dimensional Feature Selection Classification |
| Authors Name: | kokilamani.E , Gunavathi.R |
| Unique Id: | IJSDR1609033 |
| Published In: | Volume 1 Issue 9, September-2016 |
| Abstract: | Classification problems in high dimensional data with small number of observations are becoming more common particularly in microarray data. Throughout the last two decades, plenty of efficient categorization models and feature selection (FS) algorithms have been planned for high prediction accuracies. The optimal Linear Programming Boosting (LPBoost) is a supervise classifier since the boosting family of classifiers. To predict or the feature selection (FS) algorithm applied is not efficient with the accurate data set. The LP Boost maximizes a margin between training samples of dissimilar classes and therefore also belongs to the class of margin-maximizing supervised classification algorithms. Therefore, Booster can also be used as a criterion to estimate the act of an FS algorithm or to estimate the complexity of a data set for classification. LPBoost iteratively optimizes double misclassification costs and vigorously generates pathetic hypotheses to build new LP columns. |
| Keywords: | Optimal Linear Programming Boosting,Prediction, Estimate, Misclassification, Feature Selection |
| Cite Article: | " A Survey on Boosting High dimensional Feature Selection Classification", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 9, page no.220 - 222, September-2016, Available :http://www.ijsdr.org/papers/IJSDR1609033.pdf |
| Downloads: | 000346977 |
| Publication Details: | Published Paper ID: IJSDR1609033 Registration ID:160799 Published In: Volume 1 Issue 9, September-2016 DOI (Digital Object Identifier): Page No: 220 - 222 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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