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CSDA
2006
97views more  CSDA 2006»
15 years 6 months ago
Bandwidth selection for a class of difference-based variance estimators in the nonparametric regression: A possible approach
A possible approach to bandwidth selection for difference-based variance estimators in the nonparametric regression is proposed. The approach is based on the crossvalidation-type ...
M. Levine
BMCBI
2007
124views more  BMCBI 2007»
15 years 6 months ago
BranchClust: a phylogenetic algorithm for selecting gene families
Background: Automated methods for assembling families of orthologous genes include those based on sequence similarity scores and those based on phylogenetic approaches. The first ...
Maria S. Poptsova, J. Peter Gogarten
JMLR
2008
100views more  JMLR 2008»
15 years 6 months ago
Hit Miss Networks with Applications to Instance Selection
In supervised learning, a training set consisting of labeled instances is used by a learning algorithm for generating a model (classifier) that is subsequently employed for decidi...
Elena Marchiori
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 6 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
TWC
2008
133views more  TWC 2008»
15 years 6 months ago
Beam Selection Strategies for Orthogonal Random Beamforming in Sparse Networks
Abstract--Orthogonal random beamforming (ORB) constitutes a mean to exploit spatial multiplexing and multi-user diversity (MUD) gains in multi-antenna broadcast channels. To do so,...
José López Vicario, Roberto Bosisio,...