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AAAI
2010
15 years 3 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...
JMLR
2010
129views more  JMLR 2010»
14 years 9 months ago
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
76
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ETS
2007
IEEE
90views Hardware» more  ETS 2007»
15 years 2 months ago
The Relationship of Kolb Learning Styles, Online Learning Behaviors and Learning Outcomes
Hong Lu, Lei Jia, Shu-hong Gong, Bruce Clark
ICML
2009
IEEE
15 years 9 months ago
Online learning by ellipsoid method
In this work, we extend the ellipsoid method, which was originally designed for convex optimization, for online learning. The key idea is to approximate by an ellipsoid the classi...
Liu Yang, Rong Jin, Jieping Ye
COLT
2006
Springer
15 years 6 months ago
Online Learning Meets Optimization in the Dual
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer