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3 篇文献
 
Fast Multi-class Image Annotation with Random Subwindows and Multiple Output Randomized Trees  
image annotation, machine learning, decision trees, extremely randomized trees, structured outputs This paper addresses image annotation, i.e. labelling pixels of an image with a class among a finite ......
International Conference on Computer Vision Theory and Applications  2009
4次引用 0 0
approximate reinforcement learning: an overview  
Reinforcement learning (RL) allows agents to learn how to optimally interact with complex environments. Fueled by recent advances in approximation-based algorithms, RL has obtained impressive successe......
2013 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning  2011
1次引用 0 0
Scheduling data-intensive bags of tasks in P2P grids with bittorrent-enabled data distribution  
Scheduling Data-Intensive Bags of Tasks in P2P Grids leads to transfers of large input data files, which cause delays in completion times. We propose to combine several existing technologies and patte......
IEEE International Symposium on High Performance Distributed Computing  2007
4次引用 0 0

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