131 search results - page 1 / 27 » A General Method for Reducing the Complexity of Relational I... |
AAAI
2008
13 years 6 months ago
2008
Many real-world problems are characterized by complex relational structure, which can be succinctly represented in firstorder logic. However, many relational inference algorithms ...
PR
2011
12 years 7 months ago
2011
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
IPPS
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--The increasing availability of multi-core and multiprocessor architectures provides new opportunities for improving the performance of many computer simulations. Markov C...
VLSISP
2002
13 years 4 months ago
2002
Abstract. Many statistical signal processing problems found in wireless communications involves making inference about the transmitted information data based on the received signal...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Generalized Belief Propagation (gbp) has proven to be a promising technique for performing inference on Markov random fields (mrfs). However, its heavy computational cost and large...