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检索条件"机构=Research Laboratory of Machine Learning and Pervasive Computing"
73 条 记 录,以下是71-80 订阅
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Cooperative Co-evolution for large scale optimization through more frequent random grouping
Cooperative Co-evolution for large scale optimization throug...
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Congress on Evolutionary Computation
作者: Mohammad Nabi Omidvar Xiaodong Li Zhenyu Yang Xin Yao Evolutionary Computing and Machine Learning Group (ECML) the School of Computer Science and IT RMIT University Melbourne VIC Australia Nature Inspired Computation and Application Laboratory Department of Computer Science and Technology University of Science and Technology Hefei Anhui China Centre of Excellence of Research in Computational Intelligence and Applications (CERCIA) School of Computer Science University of Binningham Birmingham UK
In this paper we propose three techniques to improve the performance of one of the major algorithms for large scale continuous global function optimization. Multilevel Cooperative Co-evolution (MLCC) is based on a Coo... 详细信息
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AAAI 2008 workshop reports
AAAI 2008 workshop reports
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作者: Anand, Sarabjot Singh Bunescu, Razvan Carvcdho, Vitor Chomicki, Jan Conitzer, Vincent Cox, Michael T. Dignum, Virginia Dodds, Zachary Dredze, Mark Furcy, David Gabrilovich, Evgeniy Göker, Mehmet H. Guesgen, Hans Hirsh, Haym Jannach, Dietmar Junker, Ulrich Ketter, Wolfgang Kobsa, Alfred Koenig, Sven Lau, Tessa Lewis, Lundy Matson, Eric Metzler, Ted Mihalcea, Rada Mobasher, Bamshad Pineau, Joelle Poupart, Pascal Raja, Anita Ruml, Wheeler Sadeh, Norman Shani, Guy Shapiro, Daniel Smith, Trey Taylor, Matthew E. Wagstaff, Kiri Walsh, William Zhou, Rong Department of Computer Science University of Warwick United Kingdom School of Electrical Engineering and Computer Science Ohio University United States Microsoft Live Labs United States computer science and engineering University at Buffalo United States Computer science and economics Duke University United States Intelligent Computing group of BBN Technologies Utrecht University Netherlands Department of Computer science Harvey Mudd College United States University of Pennsylvania United States University of Wisconsin United States Yahoo Research PricewaterhouseCoopers Center for Advanced Research United States Department of Computer science School of Engineering and Advanced Technology Massey University New Zealand Departent of Computer science Rutgers University United States Department of Computer Science Dortmund University of Technology. Germany ILOG Rotterdam School of Management Erasmus University Netherlands Donald Bren School of Information and Computer Sciences University of California Irvine United States Depatrment of Computer science University of Southern California United States IBM Almaden Research Center United States Department of Computer Information Technology Southern New Hampshire University United States Computer and Information Technology Program College of Technology Purdue University United States Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computer Science and Engineering University of North Texas United States School of Computing DePaul University United States Department of Computer Science McGill University Canada School of Computer Science University of Waterloo Canada Department of Software and Information Systems University of North Carolina Charlotte United States University of New Hampshire United States Microsoft Research Institute for the Study of Learning and Expertise Applied Reactivity Inc. United States NASA Ames Research Center Carnegie Mellon University West
AAAI was pleased to present the AAAI-08 Workshop Program, held Sunday and Monday, July 13-14, in Chicago, Illinois, USA. The program included the following 15 workshops: Advancements in POMDP Solvers;AI Education Work... 详细信息
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A study on hill climbing algorithms for neural network training
A study on hill climbing algorithms for neural network train...
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Congress on Evolutionary Computation
作者: S. Chalup F. Maire Machine Learning Research Centre Neurocomputing Laboratory School of Computing Science Faculty of Information Technology Queensland University of Technology Brisbane QLD Australia
This study empirically investigates variations of hill climbing algorithms for training artificial neural networks on the 5-bit parity classification task. The experiments compare the algorithms when they use differen... 详细信息
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