115 search results - page 17 / 23 » Markov Chain Monte Carlo Estimation of Exponential Random Gr... |
98
Voted
NIPS
2008
14 years 11 months ago
2008
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
108
Voted
KDD
2010
ACM
15 years 1 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
93
Voted
UAI
2004
14 years 11 months ago
2004
Bayesian learning in undirected graphical models--computing posterior distributions over parameters and predictive quantities-is exceptionally difficult. We conjecture that for ge...
103
Voted
SIAMIS
2010
14 years 4 months ago
2010
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
100
Voted
CORR
2010
Springer
14 years 7 months ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...