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» Boosting for transfer learning
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IJCAI
2007
15 years 5 months ago
General Game Learning Using Knowledge Transfer
We present a reinforcement learning game player that can interact with a General Game Playing system and transfer knowledge learned in one game to expedite learning in many other ...
Bikramjit Banerjee, Peter Stone
122
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AAAI
2006
15 years 5 months ago
Multi-Resolution Learning for Knowledge Transfer
Related objects may look similar at low-resolutions; differences begin to emerge naturally as the resolution is increased. By learning across multiple resolutions of input, knowle...
Eric Eaton
AAAI
2011
14 years 3 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
ICML
2009
IEEE
16 years 4 months ago
Boosting with structural sparsity
Despite popular belief, boosting algorithms and related coordinate descent methods are prone to overfitting. We derive modifications to AdaBoost and related gradient-based coordin...
John Duchi, Yoram Singer
128
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KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 4 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith