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» Learning Algorithms for Domain Adaptation
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IJAR
2006
118views more  IJAR 2006»
15 years 3 months ago
Learning Bayesian network parameters under order constraints
We consider the problem of learning the parameters of a Bayesian network from data, while taking into account prior knowledge about the signs of influences between variables. Such...
A. J. Feelders, Linda C. van der Gaag
EUROSYS
2006
ACM
16 years 4 days ago
URICA: Usage-awaRe Interactive Content Adaptation for mobile devices
Usage-awaRe Interactive Content Adaptation (URICA) is an automatic technique that adapts content for display on mobile devices based on usage semantics. URICA allows users who are...
Iqbal Mohomed, Jim Chengming Cai, Eyal de Lara
ICML
2008
IEEE
16 years 3 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
CE
2008
122views more  CE 2008»
15 years 3 months ago
Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques
The portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. For...
G. D. Chen, C. K. Chang, C. Y. Wang
KCAP
2005
ACM
15 years 8 months ago
Knowledge transfer via advice taking
We present a framework for knowledge transfer from one reinforcement learning task to a related task through advicetaking mechanisms. We discuss the importance of transfer in comp...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...