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ICML
2008
IEEE
16 years 7 months ago
No-regret learning in convex games
Quite a bit is known about minimizing different kinds of regret in experts problems, and how these regret types relate to types of equilibria in the multiagent setting of repeated...
Geoffrey J. Gordon, Amy R. Greenwald, Casey Marks
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
16 years 7 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
CHI
2002
ACM
16 years 7 months ago
Movement model, hits distribution and learning in virtual keyboarding
In a ten-session experiment, six participants practiced typing with an expanding rehearsal method on an optimized virtual keyboard. Based on a large amount of in-situ performance ...
Shumin Zhai, Alison E. Sue, Johnny Accot
ITICSE
2005
ACM
16 years 5 days ago
A research-led curriculum in multimedia: learning about convergence
Traditional teaching methods have acknowledged limitations. Lectures may be used to transmit information efficiently, but often fail to motivate students to engage with the subjec...
Hugh C. Davis, Su White
ICWL
2005
Springer
16 years 3 days ago
The Research of Mining Association Rules Between Personality and Behavior of Learner Under Web-Based Learning Environment
: Discovering the relationship between behavior and personality of learner in the web-based learning environment is a key to guide learners in the learning process. This paper prop...
Jin Du, Qinghua Zheng, Haifei Li, Wenbin Yuan