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» Learning Classifiers from Semantically Heterogeneous Data
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ESWS
2004
Springer
14 years 14 days ago
A Framework for Automated Service Composition in Service-Oriented Architectures
Abstract. Automated service composition refers to automating the entire process of composing a workflow. This involves automating the discovery and selection of the service, ensuri...
Shalil Majithia, David W. Walker, W. A. Gray
RIDE
1993
IEEE
14 years 26 days ago
Integration of Relational Databases in a Multidatabase System based on Schema Enrichment
In this paper, we describe a framework for an object-oriented modeling of meta information and its use for the integration of heterogeneous databases with the goal of their intero...
Daniel A. Keim, Hans-Peter Kriegel, Andreas Mieths...
BIBM
2009
IEEE
192views Bioinformatics» more  BIBM 2009»
14 years 3 months ago
A Multi-task Feature Selection Filter for Microarray Classification
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
Liang Lan, Slobodan Vucetic
PAMI
2010
122views more  PAMI 2010»
13 years 7 months ago
Domain Adaptation Problems: A DASVM Classification Technique and a Circular Validation Strategy
—This paper addresses pattern classification in the framework of domain adaptation by considering methods that solve problems in which training data are assumed to be available o...
Lorenzo Bruzzone, Mattia Marconcini
ASWC
2008
Springer
13 years 10 months ago
Scalable Distributed Ontology Reasoning Using DHT-Based Partitioning
Abstract. Ontology reasoning is an indispensable step to fully exploit the implicit semantics of Semantic Web data. The inherent distribution characteristic of the Semantic Web and...
Qiming Fang, Ying Zhao, Guangwen Yang, Weimin Zhen...