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» Generalization Improvement in Multi-Objective Learning
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107
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CTW
2002
74views more  CTW 2002»
15 years 9 days ago
Nine Steps to Move Forward from Error
: Following celebrated failures stakeholders begin to ask questions about how to improve the systems and processes they operate, manage or depend on. In this process it is easy to ...
David D. Woods, Richard I. Cook
JCDL
2003
ACM
160views Education» more  JCDL 2003»
15 years 5 months ago
Automatic Document Metadata Extraction Using Support Vector Machines
Automatic metadata generation provides scalability and usability for digital libraries and their collections. Machine learning methods offer robust and adaptable automatic metadat...
Hui Han, C. Lee Giles, Eren Manavoglu, Hongyuan Zh...
CVPR
2012
IEEE
13 years 2 months ago
The Shape Boltzmann Machine: A strong model of object shape
A good model of object shape is essential in applications such as segmentation, object detection, inpainting and graphics. For example, when performing segmentation, local constra...
S. M. Ali Eslami, Nicolas Heess, John M. Winn
71
Voted
CHI
2010
ACM
15 years 7 months ago
An exploratory study of unsupervised mobile learning in rural India
CT Cellphones have the potential to improve education for the millions of underprivileged users in the developing world. However, mobile learning in developing countries remains un...
Anuj Kumar, Anuj Tewari, Geeta Shroff, Deepti Chit...
121
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ATAL
2006
Springer
15 years 4 months ago
Learning to commit in repeated games
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
Stéphane Airiau, Sandip Sen