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AAAI
1998
13 years 8 months ago
Boosting in the Limit: Maximizing the Margin of Learned Ensembles
The "minimum margin" of an ensemble classifier on a given training set is, roughly speaking, the smallest vote it gives to any correct training label. Recent work has sh...
Adam J. Grove, Dale Schuurmans
ICMI
2004
Springer
183views Biometrics» more  ICMI 2004»
14 years 26 days ago
Agent and library augmented shared knowledge areas (ALASKA)
This paper reports on an NSF-funded effort now underway to integrate three learning technologies that have emerged and matured over the past decade; each has presented compelling ...
Eric R. Hamilton
CHI
2005
ACM
14 years 7 months ago
The uses of personal networked digital imaging: an empirical study of cameraphone photos and sharing
Developments in networked digital imaging promise to substantially affect the near-universal experience of personal photography. Designing technology for image capture and sharing...
Nancy A. Van House, Marc Davis, Morgan Ames, Megan...
JMLR
2012
11 years 10 months ago
Distance Metric Learning with Eigenvalue Optimization
The main theme of this paper is to develop a novel eigenvalue optimization framework for learning a Mahalanobis metric. Within this context, we introduce a novel metric learning a...
Yiming Ying, Peng Li
COGSCI
2004
142views more  COGSCI 2004»
13 years 7 months ago
Characterizing perceptual learning with external noise
Performance in perceptual tasks often improves with practice. This effect is known as `perceptual learning,' and it has been the source of a great deal of interest and debate...
Jason M. Gold, Allison B. Sekuler, Partrick J. Ben...