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JMLR
2010
151views more  JMLR 2010»
15 years 1 months ago
The Feature Selection Path in Kernel Methods
The problem of automatic feature selection/weighting in kernel methods is examined. We work on a formulation that optimizes both the weights of features and the parameters of the ...
Fuxin Li, Cristian Sminchisescu
ICASSP
2011
IEEE
14 years 10 months ago
A novel approach using modulation features for multiphone-based speech recognition
Recent advances in coherent and convex demodulation have proven useful for analyzing and modifying the low-frequency envelope structure of speech. This paper reports the applicati...
Pascal Clark, Gregory Sell, Les E. Atlas
FDL
2006
IEEE
16 years 20 days ago
MCF: A Metamodeling-based Visual Component Composition Framework
Reusing IP-cores to construct system models facilitated by automated generation of glue-logic, and automated composability checks can help designers to create efficient simulation...
Deepak Mathaikutty, Sandeep K. Shukla
ICML
2009
IEEE
16 years 7 months ago
Online feature elicitation in interactive optimization
Most models of utility elicitation in decision support and interactive optimization assume a predefined set of "catalog" features over which user preferences are express...
Craig Boutilier, Kevin Regan, Paolo Viappiani
ICANN
2009
Springer
16 years 1 months ago
Using Kernel Basis with Relevance Vector Machine for Feature Selection
This paper presents an application of multiple kernels like Kernel Basis to the Relevance Vector Machine algorithm. The framework of kernel machines has been a source of many works...
Frederic Suard, David Mercier