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» Learning Classifiers from Semantically Heterogeneous Data
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FUIN
2002
123views more  FUIN 2002»
13 years 7 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
ICTAI
2009
IEEE
14 years 2 months ago
Learning Link-Based Classifiers from Ontology-Extended Textual Data
Cornelia Caragea, Doina Caragea, Vasant Honavar
CATA
2003
13 years 8 months ago
Query Processing the Heterogeneous Information Sources using Ontology-based Approach
The problems of accessing and integrating heterogeneous information sources are becoming centerstage problems. One problem arising from accessing heterogeneous sources is semantic...
Ngamnij Arch-int, Yuefeng Li, Paul Roe, Peraphon S...
ACL
2010
13 years 5 months ago
Inducing Domain-Specific Semantic Class Taggers from (Almost) Nothing
This research explores the idea of inducing domain-specific semantic class taggers using only a domain-specific text collection and seed words. The learning process begins by indu...
Ruihong Huang, Ellen Riloff
IJCAI
2003
13 years 8 months ago
Statistics Gathering for Learning from Distributed, Heterogeneous and Autonomous Data Sources
With the growing use of distributed information networks, there is an increasing need for algorithmic and system solutions for data-driven knowledge acquisition using distributed,...
Doina Caragea, Jaime Reinoso, Adrian Silvescu, Vas...