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AAAI
2010
14 years 11 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
ICML
2007
IEEE
15 years 10 months ago
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
Matthew E. Taylor, Peter Stone
CVPR
2006
IEEE
15 years 12 months ago
Homography from Coplanar Ellipses with Application to Forensic Blood Splatter Reconstruction
Reconstruction of the point source of blood splatter in a crime scene is an important and difficult problem in forensic science. We study the problem of automatically reconstructi...
John Wright, Andrew Wagner, Shankar Rao, Yi Ma
MLMI
2007
Springer
15 years 4 months ago
Automatic Decision Detection in Meeting Speech
Abstract. Decision making is an important aspect of meetings in organisational settings, and archives of meeting recordings constitute a valuable source of information about the de...
Pei-yun Hsueh, Johanna D. Moore
AIIA
2007
Springer
15 years 4 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...