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ICDM
2006
IEEE
183views Data Mining» more  ICDM 2006»
16 years 11 days ago
Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy
— Log-linear models are widely used for labeling feature vectors and graphical models, typically to estimate robust conditional distributions in presence of a large number of pot...
Arpit Mathur, Soumen Chakrabarti
WSC
1997
15 years 7 months ago
Modeling Dependencies in Stochastic Simulation Inputs
We discuss some basic techniques for modeling dependence between the random variables that are inputs to a simulation model, with the main emphasis being continuous bivariate dist...
James R. Wilson
CIKM
2010
Springer
15 years 4 months ago
Multi-view clustering with constraint propagation for learning with an incomplete mapping between views
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Eric Eaton, Marie desJardins, Sara Jacob
ESANN
2007
15 years 7 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...
DATE
2006
IEEE
82views Hardware» more  DATE 2006»
16 years 11 days ago
Dynamic code overlay of SDF-modeled programs on low-end embedded systems
In this paper we propose a dynamic code overlay technique of synchronous data-flow (SDF) –modeled program for low-end embedded systems which lack MMUsupport. With this technique...
Hae-woo Park, Kyoungjoo Oh, Soyoung Park, Myoung-m...