LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data
نویسندگان
چکیده
منابع مشابه
LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data
Extreme learning machine (ELM) as a neural network algorithm has shown its good performance, such as fast speed, simple structure etc, but also, weak robustness is an unavoidable defect in original ELM for blended data. We present a new machine learning framework called “LARSEN-ELM” for overcoming this problem. In our paper, we would like to show two key steps in LARSEN-ELM. In the first step, ...
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School of Information and Engineering, Ocean University of China, Shandong, Qingdao, China 266000 School of mechanical and Electrical Engineering, China Jiliang University, Zhejiang, Hangzhou, China 310018 Department of Mechanical and Industrial Engineering and the Iowa Informatics Initiative, The University of Iowa, Iowa City, IA 52242-1527, USA Arcada University of Applied Sciences, 00550 Hel...
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ژورنال
عنوان ژورنال: Neurocomputing
سال: 2015
ISSN: 0925-2312
DOI: 10.1016/j.neucom.2014.01.069