نتایج جستجو برای: feature reduction

تعداد نتایج: 713021  

Feature selection is considered as an important issue in classification domain. Selecting a good feature through maximum relevance criterion to class label and minimum redundancy among features affect improving the classification accuracy. However, most current feature selection algorithms just work with the centralized methods. In this paper, we suggest a distributed version of the mRMR featu...

2015
G. Keerthika

Feature Reduction is the reduction of features. Most of the intrusion detection approaches focused on feature selection issues such as irrelevancy, redundancy and length of detection process. These issues will degrade the performance of system. The performance of the system is improved by three feature selection methods involving correlation based feature selection, Gain Ratio and Information G...

Journal: :DEStech Transactions on Computer Science and Engineering 2018

Journal: :Journal of The Royal Statistical Society Series B-statistical Methodology 2022

Abstract Modern high-dimensional methods often adopt the ‘bet on sparsity’ principle, while in supervised multivariate learning statisticians may face ‘dense’ problems with a large number of nonzero coefficients. This paper proposes novel clustered reduced-rank (CRL) framework that imposes two joint matrix regularizations to automatically group features constructing predictive factors. CRL is m...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید