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RAS
2010
131views more  RAS 2010»
15 years 5 months ago
Probabilistic Policy Reuse for inter-task transfer learning
Policy Reuse is a reinforcement learning technique that efficiently learns a new policy by using past similar learned policies. The Policy Reuse learner improves its exploration b...
Fernando Fernández, Javier García, M...
IJCV
2011
264views more  IJCV 2011»
15 years 1 months ago
Cost-Sensitive Active Visual Category Learning
Abstract We present an active learning framework that predicts the tradeoff between the effort and information gain associated with a candidate image annotation, thereby ranking un...
Sudheendra Vijayanarasimhan, Kristen Grauman
AAAI
2011
14 years 6 months ago
Transfer Learning by Structural Analogy
Transfer learning allows knowledge to be extracted from auxiliary domains and be used to enhance learning in a target domain. For transfer learning to be successful, it is critica...
Hua-Yan Wang, Qiang Yang
181
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ALT
2007
Springer
16 years 24 days ago
On Universal Transfer Learning
In transfer learning the aim is to solve new learning tasks using fewer examples by using information gained from solving related tasks. Existing transfer learning methods have be...
M. M. Hassan Mahmud
ICMLC
2010
Springer
15 years 5 months ago
Initiated language learning machine with multi-media and speech-recognition techniques
: Facing the 21st century the age of exploration-increasing of all kinds of knowledge and quickly development of information, how to promote the competition potential of our citize...
Dong-Liang Lee, Chun-Liang Hsu, Sheng-Yuan Yang, W...