کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383065 660801 2014 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest
چکیده انگلیسی


• A novel feature selection algorithm based on Bat Algorithm and Optimum-Path Forest.
• A comparison against different transfer functions for agent’s positioning.
• Several datasets have been employed to the experimental section.

Besides optimizing classifier predictive performance and addressing the curse of the dimensionality problem, feature selection techniques support a classification model as simple as possible. In this paper, we present a wrapper feature selection approach based on Bat Algorithm (BA) and Optimum-Path Forest (OPF), in which we model the problem of feature selection as an binary-based optimization technique, guided by BA using the OPF accuracy over a validating set as the fitness function to be maximized. Moreover, we present a methodology to better estimate the quality of the reduced feature set. Experiments conducted over six public datasets demonstrated that the proposed approach provides statistically significant more compact sets and, in some cases, it can indeed improve the classification effectiveness.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 41, Issue 5, April 2014, Pages 2250–2258
نویسندگان
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