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» On risk: perception and direction
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AAAI
2006
14 years 9 days ago
Robust Support Vector Machine Training via Convex Outlier Ablation
One of the well known risks of large margin training methods, such as boosting and support vector machines (SVMs), is their sensitivity to outliers. These risks are normally mitig...
Linli Xu, Koby Crammer, Dale Schuurmans
SIGPRO
2010
154views more  SIGPRO 2010»
13 years 9 months ago
UPRE method for total variation parameter selection
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
Youzuo Lin, Brendt Wohlberg, Hongbin Guo
FC
2009
Springer
112views Cryptology» more  FC 2009»
14 years 5 months ago
Data Hemorrhages in the Health-Care Sector
Confidential data hemorrhaging from health-care providers pose financial risks to firms and medical risks to patients. We examine the consequences of data hemorrhages including pri...
M. Eric Johnson
ELECTRONICMARKETS
2000
81views more  ELECTRONICMARKETS 2000»
13 years 10 months ago
On Auctions as the Negotiation Paradigm of Electronic Markets
Until recently, electronic markets were dominated by the combination of static offer schemes and fixed pricing. Static offer schemes such as online catalogues apparently bear the ...
Michael Ströbel
JMLR
2010
143views more  JMLR 2010»
13 years 9 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...