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JMLR
2006
118views more  JMLR 2006»
14 years 12 months ago
Learning Factor Graphs in Polynomial Time and Sample Complexity
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
Pieter Abbeel, Daphne Koller, Andrew Y. Ng
NIPS
2004
15 years 1 months ago
Dynamic Bayesian Networks for Brain-Computer Interfaces
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
Pradeep Shenoy, Rajesh P. N. Rao
ICC
2007
IEEE
123views Communications» more  ICC 2007»
15 years 6 months ago
An Analytical Model for Wavelength-Convertible Optical Networks
Abstract— In this paper, we have proposed an analytical model for optical networks with full wavelength conversion at the nodes. We have derived an analytical expression to compu...
Pachamuthu Rajalakshmi, Ashok Jhunjhunwala
TNN
2011
107views more  TNN 2011»
14 years 6 months ago
Iterative Gaussianization: From ICA to Random Rotations
Abstract—Most signal processing problems involve the challenging task of multidimensional probability density function (PDF) estimation. In this paper, we propose a solution to t...
Valero Laparra, Gustavo Camps-Valls, Jesus Malo
MOBIWAC
2006
ACM
15 years 5 months ago
Calibration-free WLAN location system based on dynamic mapping of signal strength
In this work we present a calibration-free system for locating wireless local area network devices, based on the radio frequency characteristics of such networks. Calibration proc...
Luís Felipe M. de Moraes, Bruno Astuto A. N...