1383 search results - page 88 / 277 » The Convergence of Iterated Classification |
91
Voted
PAMI
2006
15 years 20 days ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
131
Voted
UAI
2004
15 years 2 months ago
2004
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
109
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INFOCOM
2007
IEEE
15 years 7 months ago
2007
IEEE
—The implementation of distributed network utility maximization (NUM) algorithms hinges heavily on information feedback through message passing among network elements. In practic...
143
Voted
TOG
2012
13 years 3 months ago
2012
We present a parallel iterative rigid body solver that avoids common artifacts at low iteration counts. In large or real-time simulations, iteration is often terminated before con...
104
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CDC
2008
IEEE
15 years 2 months ago
2008
IEEE
This paper describes a criterion for qualitative analysis of open Chemical Reaction Networks endowed with mass-action kinetics. The method can be applied to an extremely broad clas...