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» Likelihood Computations Using Value Abstraction
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AISC
2004
Springer
14 years 3 months ago
New Developments in Symmetry Breaking in Search Using Computational Group Theory
Symmetry-breaking in constraint satisfaction problems (CSPs) is a well-established area of AI research which has recently developed strong interactions with symbolic computation, i...
Tom Kelsey, Steve Linton, Colva M. Roney-Dougal
SIAMSC
2010
141views more  SIAMSC 2010»
13 years 8 months ago
An Iterative Method for Edge-Preserving MAP Estimation When Data-Noise Is Poisson
In numerous applications of image processing, e.g. astronomical and medical imaging, data-noise is well-modeled by a Poisson distribution. This motivates the use of the negative-lo...
Johnathan M. Bardsley, John Goldes
RECOMB
2008
Springer
14 years 10 months ago
DLIGHT - Lateral Gene Transfer Detection Using Pairwise Evolutionary Distances in a Statistical Framework
Abstract. This paper presents an algorithm to detect lateral gene transfer (LGT) on the basis of pairwise evolutionary distances. The prediction is made from a likelihood ratio der...
Christophe Dessimoz, Daniel Margadant, Gaston H. G...
DASFAA
2007
IEEE
208views Database» more  DASFAA 2007»
14 years 4 months ago
Probabilistic Nearest-Neighbor Query on Uncertain Objects
Nearest-neighbor queries are an important query type for commonly used feature databases. In many different application areas, e.g. sensor databases, location based services or fac...
Hans-Peter Kriegel, Peter Kunath, Matthias Renz
DASFAA
2006
IEEE
183views Database» more  DASFAA 2006»
14 years 3 months ago
Probabilistic Similarity Join on Uncertain Data
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...