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» Approximate algorithms for neural-Bayesian approaches
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ICASSP
2011
IEEE
14 years 1 months ago
Bayesian framework and message passing for joint support and signal recovery of approximately sparse signals
In this paper, we develop a low-complexity message passing algorithm for joint support and signal recovery of approximately sparse signals. The problem of recovery of strictly spa...
Shubha Shedthikere, Ananthanarayanan Chockalingam
STOC
2007
ACM
117views Algorithms» more  STOC 2007»
15 years 10 months ago
A combinatorial, primal-dual approach to semidefinite programs
Semidefinite programs (SDP) have been used in many recent approximation algorithms. We develop a general primal-dual approach to solve SDPs using a generalization of the well-know...
Sanjeev Arora, Satyen Kale
SIGIR
2009
ACM
15 years 4 months ago
Brute force and indexed approaches to pairwise document similarity comparisons with MapReduce
This paper explores the problem of computing pairwise similarity on document collections, focusing on the application of “more like this” queries in the life sciences domain. ...
Jimmy J. Lin
ECAI
2008
Springer
14 years 11 months ago
An Analysis of Bayesian Network Model-Approximation Techniques
Abstract. Two approaches have been used to perform approximate inference in Bayesian networks for which exact inference is infeasible: employing an approximation algorithm, or appr...
Adamo Santana, Gregory M. Provan
CCE
2004
14 years 9 months ago
Computational studies using a novel simplicial-approximation based algorithm for MINLP optimization
Significant advances have been made in the last two decades for the effective solution of mixed integer non-linear programming (MINLP) problems, mainly by exploiting the special s...
Vishal Goyal, Marianthi G. Ierapetritou