190 search results - page 2 / 38 » On solving integral equations using Markov chain Monte Carlo... |
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
LSSC
2001
Springer
13 years 9 months ago
2001
Springer
In this paper we analyze a quasi-Monte Carlo method for solving systems of linear algebraic equations. It is well known that the convergence of Monte Carlo methods for numerical in...
PVM
1999
Springer
13 years 9 months ago
1999
Springer
The problem of solving sparse Systems of Linear Algebraic Equations (SLAE) by parallel Monte Carlo numerical methods is considered. The almost optimal Monte Carlo algorithms are pr...
JCC
2006
13 years 5 months ago
2006
: This article describes a method for solving the geometric closure problem for simplified models of nucleic acid structures by using the constant bond lengths approximation. The r...
WSC
1998
13 years 6 months ago
1998
We consider a new simulation-based optimization method called the Nested Partitions (NP) method. This method generates a Markov chain and solving the optimization problem is equiv...