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IJCAI
2003
15 years 8 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 7 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 6 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...
SEMWEB
2007
Springer
16 years 28 days ago
DBpedia: A Nucleus for a Web of Open Data
Abstract DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated ...
Sören Auer, Christian Bizer, Georgi Kobilarov...
SSPR
2004
Springer
16 years 5 days ago
Kernel Methods for Exploratory Pattern Analysis: A Demonstration on Text Data
Kernel Methods are a class of algorithms for pattern analysis with a number of convenient features. They can deal in a uniform way with a multitude of data types and can be used to...
Tijl De Bie, Nello Cristianini