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UAI
2000
15 years 8 months ago
Tractable Bayesian Learning of Tree Belief Networks
In this paper we present decomposable priors, a family of priors over structure and parameters of tree belief nets for which Bayesian learning with complete observations is tracta...
Marina Meila, Tommi Jaakkola
CORR
2007
Springer
88views Education» more  CORR 2007»
15 years 6 months ago
Target assignment for robotic networks: asymptotic performance under limited communication
— We are given an equal number of mobile robotic agents, and distinct target locations. Each agent has simple integrator dynamics, a limited communication range, and knowledge of...
Stephen L. Smith, Francesco Bullo
JCM
2007
76views more  JCM 2007»
15 years 6 months ago
On the Tradeoff Between Blocking and Dropping Probabilities in Multi-cell CDMA Networks
— This paper is a sequel of previous work, in which we proposed a model and computational technique to calculate the Erlang capacity of a single CDMA cell that supports elastic s...
Gábor Fodor, Miklós Telek
CORR
2011
Springer
261views Education» more  CORR 2011»
15 years 1 months ago
Convex and Network Flow Optimization for Structured Sparsity
We consider a class of learning problems regularized by a structured sparsity-inducing norm defined as the sum of 2- or ∞-norms over groups of variables. Whereas much effort ha...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
TNN
2011
142views more  TNN 2011»
15 years 1 months ago
Optimum Spatio-Spectral Filtering Network for Brain-Computer Interface
—This paper proposes a feature extraction method for motor imagery brain–computer interface (BCI) using electroencephalogram. We consider the primary neurophysiologic phenomeno...
Haihong Zhang, Zhang Yang Chin, Kai Keng Ang, Cunt...