683 search results - page 100 / 137 » Generalization Bounds for Learning Kernels |
AINA
2006
IEEE
13 years 11 months ago
2006
IEEE
Flooding protocols for wireless networks in general have been shown to be very inefficient and therefore are mainly used in network initialization or route discovery and maintenan...
ICCV
2009
IEEE
15 years 12 days ago
2009
IEEE
A key ingredient in the design of visual object classification
systems is the identification of relevant class specific
aspects while being robust to intra-class variations. Whil...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
STOC
2006
ACM
14 years 7 months ago
2006
ACM
In this work we show how to use efficient online trading algorithms to price the current value of financial instruments, such as an option. We derive both upper and lower bounds f...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
Much attention has been paid to the theoretical explanation of the empirical success of AdaBoost. The most influential work is the margin theory, which is essentially an upper bou...