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JMLR
2008
110views more  JMLR 2008»
15 years 7 months ago
Cross-Validation Optimization for Large Scale Structured Classification Kernel Methods
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
Matthias W. Seeger
JSAC
2008
84views more  JSAC 2008»
15 years 7 months ago
The Price of Simplicity
We study revenue-maximizing pricing by a service provider in a communication network and compare revenues from simple pricing rules to the maximum revenues that are feasible. In pa...
Srinivas Shakkottai, R. Srikant, Asuman E. Ozdagla...
JMLR
2006
105views more  JMLR 2006»
15 years 7 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
David Barber
JMLR
2006
136views more  JMLR 2006»
15 years 7 months ago
Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
Tonatiuh Peña Centeno, Neil D. Lawrence
ETT
2007
99views Education» more  ETT 2007»
15 years 7 months ago
On the design of rate-compatible serially concatenated convolutional codes
A powerful class of rate-compatible serially concatenated convolutional codes (SCCCs) has been proposed based on minimizing analytical upper bounds on the error probability in the ...
Alexandre Graell i Amat, Fredrik Brännstr&oum...