1420 search results - page 24 / 284 » Decision Making Using Probabilistic Inference Methods |
RECOMB
2008
Springer
15 years 10 months ago
2008
Springer
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...
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SIGMOD
2011
ACM
14 years 15 days ago
2011
ACM
In the database community, work on information extraction (IE) has centered on two themes: how to effectively manage IE tasks, and how to manage the uncertainties that arise in th...
APN
2007
Springer
15 years 3 months ago
2007
Springer
In this work, we propose two high-level formalisms, Markov Decision Petri Nets (MDPNs) and Markov Decision Well-formed Nets (MDWNs), useful for the modeling and analysis of distrib...
PVLDB
2008
14 years 9 months ago
2008
There has been a recent surge in work in probabilistic databases, propelled in large part by the huge increase in noisy data sources -from sensor data, experimental data, data fro...