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NIPS
2003
15 years 1 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck
ICIP
2009
IEEE
16 years 28 days ago
A Graph-cut Based Algorithm For Approximate Mrf Optimization
This paper copes with the approximate minimization of Markovian energy with pairwise interactions. We extend previous approaches that rely on graph-cuts and move making techniques...
LATIN
2000
Springer
15 years 3 months ago
Approximation Algorithms for Flexible Job Shop Problems
The Flexible Job Shop problem is a generalization of the classical job shop scheduling problem in which for every operation there is a group of machines that can process it. The p...
Klaus Jansen, Monaldo Mastrolilli, Roberto Solis-O...
DAC
1999
ACM
16 years 25 days ago
Robust Rational Function Approximation Algorithm for Model Generation
Carlos P. Coelho, Joel R. Phillips, Luis Miguel Si...
ICALP
1998
Springer
15 years 4 months ago
Efficient Approximation Algorithms for the Subset-Sums Equality Problem
We investigate the problem of finding two nonempty disjoint subsets of a set of n positive integers, with the objective that the sums of the numbers in the two subsets be as close ...
Cristina Bazgan, Miklos Santha, Zsolt Tuza