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» A Statistical Clustering Model and Algorithm
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SCFBM
2008
738views more  SCFBM 2008»
15 years 6 months ago
Purposeful selection of variables in logistic regression
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
Zoran Bursac, C. Heath Gauss, David Keith Williams...
AAAI
2012
13 years 9 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
BMCBI
2004
128views more  BMCBI 2004»
15 years 6 months ago
Comparing transformation methods for DNA microarray data
Background: When DNA microarray data are used for gene clustering, genotype/phenotype correlation studies, or tissue classification the signal intensities are usually transformed ...
Helene H. Thygesen, Aeilko H. Zwinderman
ACL
2000
15 years 8 months ago
Automatic Labeling of Semantic Roles
e, the system labels constituents with either abstract semantic roles such as AGENT or PATIENT, or more domain-specific semantic roles such as SPEAKER, MESSAGE, and TOPIC. The syst...
Daniel Gildea, Daniel Jurafsky
CCGRID
2007
IEEE
16 years 27 days ago
Study of Different Replica Placement and Maintenance Strategies in Data Grid
Data replication is an excellent technique to move and cache data close to users. By replication, data access performance can be improved dramatically. One of the challenges in da...
Rashedur M. Rahman, Ken Barker, Reda Alhajj