324 search results - page 11 / 65 » Bounds for Functions of Dependent Risks |
NIPS
2004
15 years 1 months ago
2004
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
101
Voted
NAACL
2010
14 years 9 months ago
2010
We describe a method of incorporating taskspecific cost functions into standard conditional log-likelihood (CLL) training of linear structured prediction models. Recently introduc...
101
click to vote
COLT
2006
Springer
15 years 3 months ago
2006
Springer
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
HPDC
2007
IEEE
15 years 6 months ago
2007
IEEE
We study stochastic models to mitigate the risk of poor Quality-of-Service (QoS) in computational markets. Consumers who purchase services expect both price and performance guaran...
JMLR
2008
14 years 11 months ago
2008
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...