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» On Learning Limiting Programs
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CVPR
2010
IEEE
16 years 2 months ago
Efficient Piecewise Learning for Conditional Random Fields
Conditional Random Field models have proved effective for several low-level computer vision problems. Inference in these models involves solving a combinatorial optimization probl...
Karteek Alahari, Phil Torr
ECLIPSE
2006
ACM
16 years 23 days ago
A focused learning environment for Eclipse
The support available in Eclipse to help software developers learn complex APIs and development tools is inadequate; the support is largely passive and the support typically opera...
Izzet Safer, Gail C. Murphy, Julie Waterhouse, Jin...
ITICSE
2005
ACM
16 years 11 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
ATAL
2005
Springer
16 years 10 days ago
Multi-agent reward analysis for learning in noisy domains
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
Adrian K. Agogino, Kagan Tumer
202
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EUC
2005
Springer
16 years 10 days ago
Ubiquitous Learning on Pocket SCORM
With advanced technologies, computer devices have become smaller and powerful. As a result, many people enjoy ubiquitous learning using mobile devices such as Pocket PCs. Pocket PC...
Hsuan-Pu Chang, Wen-Chih Chang, Yun-Long Sie, Nige...