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JMLR
2011
111views more  JMLR 2011»
15 years 1 months ago
Models of Cooperative Teaching and Learning
While most supervised machine learning models assume that training examples are sampled at random or adversarially, this article is concerned with models of learning from a cooper...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
CVPR
2007
IEEE
16 years 27 days ago
Learning Generative Models via Discriminative Approaches
Generative model learning is one of the key problems in machine learning and computer vision. Currently the use of generative models is limited due to the difficulty in effective...
Zhuowen Tu
PVM
2010
Springer
15 years 5 months ago
Toward Performance Models of MPI Implementations for Understanding Application Scaling Issues
Abstract. Designing and tuning parallel applications with MPI, particularly at large scale, requires understanding the performance implications of different choices of algorithms ...
Torsten Hoefler, William Gropp, Rajeev Thakur, Jes...
DMIN
2006
105views Data Mining» more  DMIN 2006»
15 years 8 months ago
Development of an Optimal Neural Network for Avalanche Forecast in Himalayan Region
- This paper deals with the application of a well-known data mining technique, multi-layer back-propagation neural network, for forecasting of an avalanche in Himalayan region. Met...
Rashpal Kaur, Mahesh Bansal, Atul Parti, V. Rihani
AAAI
2012
13 years 9 months ago
HyperPlay: A Solution to General Game Playing with Imperfect Information
General Game Playing is the design of AI systems able to understand the rules of new games and to use such descriptions to play those games effectively. Games with imperfect infor...
Michael John Schofield, Timothy Joseph Cerexhe, Mi...