首页|Reports from Anhui University Describe Recent Advances in Computational Intellig ence (Smem: a Subspace Merging Based Evolutionary Method for High-dimensional Fe ature Selection)
Reports from Anhui University Describe Recent Advances in Computational Intellig ence (Smem: a Subspace Merging Based Evolutionary Method for High-dimensional Fe ature Selection)
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Fresh data on Machine Learning - Compu tational Intelligence are presented in a new report. According to news reporting originating from Hefei, People's Republic of China, by NewsRx correspondents, r esearch stated, "In the past decade, evolutionary algorithms (EAs) have shown th eir promising performance in solving the problem of feature selection. Despite t hat, it is still quite challenging to design the EAs for high-dimensional featur e selection (HDFS), since the increasing number of features causes the search sp ace of EAs grows exponentially, which is known as the ‘curse of dimensionality." Funders for this research include National Natural Science Foundation of China ( NSFC), Key Projects of University Excellent Talents Support Plan of Anhui Provin cial Department of Education, Key Program of Natural Science Project of Educatio nal Commission of Anhui Province, University Synergy Innovation Program of Anhui Province.
HefeiPeople's Republic of ChinaAsiaComputational IntelligenceMachine LearningAnhui University
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