Apr 15, 2020 · Feature selection (FS) is mainly used as a pre-processing tool to reduce dimensionality by eliminating irrelevant or redundant features to ...
Feature selection (FS) is mainly used as a pre-processing tool to reduce dimensionality by eliminating irrelevant or redundant features to be used for a ...
Late Acceptance Hill Climbing Based Social Ski Driver Algorithm for Feature Selection. Chatterjee, Bitanu; ;; Bhattacharyya, Trinav; ;; Ghosh, Kushal Kanti ...
This paper proposes a framework to obtain better results using Relief and Correlation Feature selection which are filter methodsfor generation of feature pool ...
A feature selection algorithm we developed based on Social Ski Driver Optimization and Late Acceptance Hill Climbing. Our work has been published in the ...
Nov 5, 2022 · We apply a meta-heuristic called Social Ski-Driver (SSD) algorithm embedded with Adaptive Beta Hill Climbing based local search to obtain an optimal features ...
Apr 1, 2017 · This paper introduces a new and very simple search methodology called Late Acceptance Hill-Climbing (LAHC). It is a local search algorithm, ...
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QDE-SVM is a better method as it gives high classification accuracy with a shorter training time duration (an average time of 29.85 hours) than QDE-LR.
Late acceptance hill climbing based social ski driver algorithm for feature selection. B Chatterjee, T Bhattacharyya, KK Ghosh, PK Singh, ZW Geem, R Sarkar.
Next, we apply a meta-heuristic called Social Ski- Driver (SSD) algorithm embedded with Adaptive Beta Hill Climbing based local search to obtain an optimal ...