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IJCAI
2001
14 years 11 months ago
Approximate inference for first-order probabilistic languages
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
Hanna Pasula, Stuart J. Russell
IJAIT
2008
107views more  IJAIT 2008»
14 years 10 months ago
Haplotype Inference with Boolean Satisfiability
One of the main topics of research in genomics is determining the relevance of mutations, described in haplotype data, as causes of some genetic diseases. However, due to technolo...
Inês Lynce, João Marques-Silva
VLDB
2007
ACM
118views Database» more  VLDB 2007»
15 years 10 months ago
Inferring XML Schema Definitions from XML Data
Although the presence of a schema enables many optimizations for operations on XML documents, recent studies have shown that many XML documents in practice either do not refer to ...
Geert Jan Bex, Frank Neven, Stijn Vansummeren
105
Voted
ICASSP
2009
IEEE
15 years 5 months ago
Structured variational methods for distributed inference in wireless ad hoc and sensor networks
Abstract –In this paper, a variational message passing framework is proposed for Markov random fields, which is computationally more efficient and admits wider applicability comp...
Yanbing Zhang, Huaiyu Dai
74
Voted
ICSE
1994
IEEE-ACM
15 years 2 months ago
On the Inference of Configuration Structures from Source Code
We apply mathematical concept analysis to the problem of infering configuration structures from existing source code. Concept analysis has been developed by German mathematicians ...
Maren Krone, Gregor Snelting