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AAAI
2012
11 years 10 months ago
Online Kernel Selection: Algorithms and Evaluations
Kernel methods have been successfully applied to many machine learning problems. Nevertheless, since the performance of kernel methods depends heavily on the type of kernels being...
Tianbao Yang, Mehrdad Mahdavi, Rong Jin, Jinfeng Y...
CSDA
2007
105views more  CSDA 2007»
13 years 7 months ago
Joint segmentation of wind speed and direction using a hierarchical model
The problem of detecting changes in wind speed and direction is considered. Bayesian priors, with various degrees of certainty, are used to represent relationships between the two...
Nicolas Dobigeon, Jean-Yves Tourneret
JMLR
2010
118views more  JMLR 2010»
13 years 2 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
PEWASUN
2008
ACM
13 years 9 months ago
Experimentation and performance evaluation of rate adaptation algorithms in wireless mesh networks
In this paper we present an experimental study conducted in 802.11based mesh networks of three existing rate adaptation algorithms. The aim of this study is twofold. On the one ha...
Emilio Ancillotti, Raffaele Bruno, Marco Conti
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-or
Background: G protein-coupled receptors (GPCRs) represent a family of well-characterized drug targets with significant therapeutic value. Phylogenetic classifications may help to ...
Eelke van der Horst, Julio E. Peironcely, Adriaan ...