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TSP
2010
14 years 11 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...
ICASSP
2011
IEEE
14 years 8 months ago
Interference alignment in single-beam MIMO networks via homotopy continuation
In this paper we consider the application of a homotopy-continuation based method for finding interference alignment (IA) solutions for the deterministic K-user multiple-input mu...
Oscar Gonzalez, Ignacio Santamaría
290
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INFOCOM
2011
IEEE
14 years 8 months ago
Construction of directional virtual backbones with minimum routing cost in wireless networks
—It is well-known that the application of directional antennas can help conserve bandwidth and energy consumption in wireless networks. Thus, to achieve efficiency in wireless n...
Ling Ding, Weili Wu, James Willson, Hongjie Du, Wo...
CISS
2011
IEEE
14 years 8 months ago
Sparsity penalties in dynamical system estimation
—In this work we address the problem of state estimation in dynamical systems using recent developments in compressive sensing and sparse approximation. We formulate the traditio...
Adam Charles, Muhammad Salman Asif, Justin K. Romb...
ESOP
2011
Springer
14 years 8 months ago
Measure Transformer Semantics for Bayesian Machine Learning
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
Johannes Borgström, Andrew D. Gordon, Michael...