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» Opportunistic Data Structures with Applications
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SC
1993
ACM
15 years 8 months ago
Dynamic data distributions in Vienna Fortran
Vienna Fortran is a machine-independent language extension of Fortran, which is based upon the Single-Program-Multiple-Data SPMD paradigm and allows the user to write programs f...
Barbara M. Chapman, Piyush Mehrotra, Hans Moritsch...
133
Voted
IJCAI
2003
15 years 5 months ago
Inductive Learning in Less Than One Sequential Data Scan
Most recent research of scalable inductive learning on very large dataset, decision tree construction in particular, focuses on eliminating memory constraints and reducing the num...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo
CORR
2010
Springer
139views Education» more  CORR 2010»
15 years 4 months ago
Algorithmic Solutions for Several Offline Constrained Resource Processing and Data Transfer Multicriteria Optimization Problems
In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented tec...
Mugurel Ionut Andreica, Nicolae Tapus
BMCBI
2006
134views more  BMCBI 2006»
15 years 4 months ago
Application of machine learning in SNP discovery
Background: Single nucleotide polymorphisms (SNP) constitute more than 90% of the genetic variation, and hence can account for most trait differences among individuals in a given ...
Lakshmi K. Matukumalli, John J. Grefenstette, Davi...
WWW
2003
ACM
16 years 5 months ago
Assisted Browsing for Semistructured Data
The development of the RDF[2] standard highlights the fact that a great deal of useful information is in the form of semistructured data--objects connected by relations fitting no...
Vineet Sinha, David R. Karger, David Huynh