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TIP
2008
133views more  TIP 2008»
13 years 7 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
JAIR
2007
132views more  JAIR 2007»
13 years 7 months ago
New Inference Rules for Max-SAT
Exact Max-SAT solvers, compared with SAT solvers, apply little inference at each node of the proof tree. Commonly used SAT inference rules like unit propagation produce a simpliï¬...
Chu Min Li, Felip Manyà, Jordi Planes
BMCBI
2005
84views more  BMCBI 2005»
13 years 7 months ago
A method of precise mRNA/DNA homology-based gene structure prediction
Background: Accurate and automatic gene finding and structural prediction is a common problem in bioinformatics, and applications need to be capable of handling non-canonical spli...
Alexander G. Churbanov, Mark Pauley, Daniel Quest,...
BMCBI
2005
151views more  BMCBI 2005»
13 years 7 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
TMC
2008
127views more  TMC 2008»
13 years 7 months ago
Time and Energy Complexity of Distributed Computation of a Class of Functions in Wireless Sensor Networks
We consider a scenario in which a wireless sensor network is formed by randomly deploying n sensors to measure some spatial function over a field, with the objective of computing a...
Nilesh Khude, Anurag Kumar, Aditya Karnik
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