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BMCBI
2006
152views more  BMCBI 2006»
13 years 9 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
IPMI
2009
Springer
14 years 9 months ago
DRAMMS: Deformable Registration via Attribute Matching and Mutual-Saliency weighting
A general-purpose deformable registration algorithm referred to as ”DRAMMS” is presented in this paper. DRAMMS adds to the literature of registration methods that bridge betw...
Yangming Ou, Christos Davatzikos
ICML
2001
IEEE
14 years 9 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 3 months ago
Detecting Attribute Dependencies from Query Feedback
Real-world datasets exhibit a complex dependency structure among the data attributes. Learning this structure is a key task in automatic statistics configuration for query optimi...
Peter J. Haas, Fabian Hueske, Volker Markl
CAS
2005
64views more  CAS 2005»
13 years 9 months ago
Estimating Null Values In Relational Database Systems Based On Genetic Algorithms
In this paper, we present a new method to estimate null values in relational database systems based on genetic algorithms. It can tune the membership functions of the linguistic v...
Shyi-Ming Chen, Shih-Wei Lee