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» Adaptive Kernel Methods Using the Balancing Principle
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FOCM
2010
88views more  FOCM 2010»
13 years 3 months ago
Adaptive Kernel Methods Using the Balancing Principle
Ernesto De Vito, S. Pereverzyev, Lorenzo Rosasco
UAI
2004
13 years 6 months ago
On-line Prediction with Kernels and the Complexity Approximation Principle
The paper describes an application of Aggregating Algorithm to the problem of regression. It generalizes earlier results concerned with plain linear regression to kernel technique...
Alexander Gammerman, Yuri Kalnishkan, Vladimir Vov...
ATAL
2003
Springer
13 years 10 months ago
A principled study of the design tradeoffs for autonomous trading agents
In this paper we present a methodology for deciding the bidding strategy of agents participating in a significant number of simultaneous auctions, when finding an analytical sol...
Ioannis A. Vetsikas, Bart Selman
ICPR
2008
IEEE
14 years 6 months ago
Kernel bandwidth estimation in methods based on probability density function modelling
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...
Adrian G. Bors, Nikolaos Nasios
COLING
2010
12 years 12 months ago
Simplicity is Better: Revisiting Single Kernel PPI Extraction
It has been known that a combination of multiple kernels and addition of various resources are the best options for improving effectiveness of kernel-based PPI extraction methods....
Sung-Pil Choi, Sung-Hyon Myaeng