Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition
نویسندگان
چکیده
منابع مشابه
Maximum relevancy maximum complementary feature selection for multi-sensor activity recognition
In the multi-sensor activity recognition domain, the input space is often large and contains irrelevant and overlapped features. It is important to perform feature selection in order to select the smallest number of features which can describe the outputs. This paper proposes a new feature selection algorithms using the maximal relevance and maximal complementary criteria (MRMC) based on neural...
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2015
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2014.07.052