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CORR
2010
Springer
96views Education» more  CORR 2010»
15 years 6 months ago
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive threshol...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
PC
2000
120views Management» more  PC 2000»
15 years 6 months ago
Real-time sonar beamforming on high-performance distributed computers
Rapid advancements in acoustical beamforming techniques for array signal processing are producing algorithms with increased levels of computational complexity. Concomitantly, auto...
Alan D. George, Jeff Markwell, Ryan Fogarty
PPL
2002
83views more  PPL 2002»
15 years 6 months ago
Trading Replication for Communication in Parallel Distributed-Memory Dense Solvers
We present new communication-efficient parallel dense linear solvers: a solver for triangular linear systems with multiple right-hand sides and an LU factorization algorithm. Thes...
Dror Irony, Sivan Toledo
ICASSP
2011
IEEE
14 years 10 months ago
Convergence of a distributed parameter estimator for sensor networks with local averaging of the estimates
The paper addresses the convergence of a decentralized Robbins-Monro algorithm for networks of agents. This algorithm combines local stochastic approximation steps for finding th...
Pascal Bianchi, Gersende Fort, Walid Hachem, J&eac...
171
Voted
IAT
2006
IEEE
16 years 22 days ago
Using Prior Knowledge to Improve Distributed Hill Climbing
The Distributed Probabilistic Protocol (DPP) is a new, approximate algorithm for solving Distributed Constraint Satisfaction Problems (DCSPs) that exploits prior knowledge to impr...
Roger Mailler