131 search results - page 5 / 27 » Bayesian probabilistic matrix factorization using Markov cha... |
ICPP
2007
IEEE
14 years 1 months ago
2007
IEEE
We present two parallel algorithms and their Unified Parallel C implementations for Bayesian indoor positioning systems. Our approaches are founded on Markov Chain Monte Carlo si...
NAA
2000
Springer
13 years 11 months ago
2000
Springer
Abstract. The convergence of Monte Carlo method for numerical integration can often be improved by replacing pseudorandom numbers (PRNs) with more uniformly distributed numbers kno...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
IJCNN
2000
IEEE
14 years 20 hour ago
2000
IEEE
Bayesian MLP neural networks are a flexible tool in complex nonlinear problems. The approach is complicated by need to evaluate integrals over high-dimensional probability distri...
WWW
2010
ACM
14 years 2 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...