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» A Parameter-Free Associative Classification Method
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SIAMMAX
2010
111views more  SIAMMAX 2010»
13 years 3 months ago
Stochastic Galerkin Matrices
We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random co...
Oliver G. Ernst, Elisabeth Ullmann
ICML
2009
IEEE
14 years 9 months ago
Archipelago: nonparametric Bayesian semi-supervised learning
Semi-supervised learning (SSL), is classification where additional unlabeled data can be used to improve accuracy. Generative approaches are appealing in this situation, as a mode...
Ryan Prescott Adams, Zoubin Ghahramani
DATAMINE
2010
161views more  DATAMINE 2010»
13 years 6 months ago
Predicting labels for dyadic data
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
Aditya Krishna Menon, Charles Elkan
ICML
2006
IEEE
14 years 9 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
AVI
2010
13 years 9 months ago
An architecture and a visual interface for tagging the 3D web
Content classification performed by end users is spreading through the web. Most of the work done so far is related to the hypermedia web. In spite of that, there is a growing mas...
Fabio Pittarello