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» Adaptive Kernel Methods Using the Balancing Principle
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HICSS
2005
IEEE
160views Biometrics» more  HICSS 2005»
14 years 1 months ago
Using Content and Process Scaffolds to Support Collaborative Discourse in Asynchronous Learning Networks
Discourse, a form of collaborative learning [44], is one of the most widely used methods of teaching and learning in the online environment. Particularly in large courses, discour...
I. Wong-Bushby, Starr Roxanne Hiltz, Michael Biebe...
IROS
2007
IEEE
157views Robotics» more  IROS 2007»
14 years 1 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
ICIP
2009
IEEE
13 years 5 months ago
Real-time screen image scaling and its GPU acceleration
In this paper, we propose a simple and effective scheme for screen image scaling, targeting at real-time applications like remote desktop and screen sharing. To balance visual qua...
Wen Sun, Yan Lu, Feng Wu, Shipeng Li
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 3 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...
ICASSP
2010
IEEE
13 years 7 months ago
Direct importance estimation with probabilistic principal component analyzers
The importance estimation problem (estimating the ratio of two probability density functions) has recently gathered a great deal of attention for use in various applications, e.g....
Makoto Yamada, Masashi Sugiyama, Gordon Wichern