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» On learning with dissimilarity functions
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NIPS
2008
13 years 9 months ago
Regularized Learning with Networks of Features
For many supervised learning problems, we possess prior knowledge about which features yield similar information about the target variable. In predicting the topic of a document, ...
Ted Sandler, John Blitzer, Partha Pratim Talukdar,...
DM
1998
91views more  DM 1998»
13 years 7 months ago
On some relations between 2-trees and tree metrics
A tree function (TF) t on a ÿnite set X is a real function on the set of the pairs of elements of X satisfying the four-point condition: for all distinct x; y; z; w ∈ X; t(xy)+...
Bruno Leclerc, Vladimir Makarenkov
EMMCVPR
2003
Springer
14 years 1 months ago
Curve Matching Using the Fast Marching Method
Common techniques for curve alignment find a solution in the form of a shortest network path by means of dynamic programming. In this paper we present an approach that employs Set...
Max Frenkel, Ronen Basri
CSDA
2007
148views more  CSDA 2007»
13 years 7 months ago
Classifying densities using functional regression trees: Applications in oceanology
The problem of building a regression tree is considered when the response variable is a probability density function. Splitting criteria which are well adapted to measure the diss...
David Nerini, Badih Ghattas
IJON
2002
82views more  IJON 2002»
13 years 7 months ago
Functional imaging and neuronal information processing
Since the functional magnetic resonance imaging (fMRI) signal is likely to re ect a spatial average of the activity of neurons with partly dissimilar response properties, its inte...
Angel Nevado, Malcolm P. Young, Stefano Panzeri