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» Algorithms for distributed functional monitoring
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110
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UAI
2008
15 years 2 months ago
Learning Arithmetic Circuits
Graphical models are usually learned without regard to the cost of doing inference with them. As a result, even if a good model is learned, it may perform poorly at prediction, be...
Daniel Lowd, Pedro Domingos
IMAGING
2003
15 years 1 months ago
A Large Image Database for Color Constancy Research
We present a study on various statistics relevant to research on color constancy. Many of these analyses could not have been done before simply because a large database for color ...
Florian Ciurea, Brian V. Funt
117
Voted
UAI
2000
15 years 1 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
106
Voted
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 1 months ago
Modularity and symmetry in computational embryogeny
Modularity and symmetry are two properties observed in almost every engineering and biological structure. The origin of these properties in nature is still unknown. Yet, as engine...
Or Yogev, Andrew A. Shapiro, Erik K. Antonsson
ICML
2010
IEEE
15 years 1 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum