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» From Law-Like Knowledge to Concept Hierarchies in Data
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WWW
2002
ACM
14 years 7 months ago
Learning to map between ontologies on the semantic web
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated info...
AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon ...
ICCV
2003
IEEE
14 years 8 months ago
Dominant Sets and Hierarchical Clustering
Dominant sets are a new graph-theoretic concept that has proven to be relevant in partitional (flat) clustering as well as image segmentation problems. However, in many computer v...
Massimiliano Pavan, Marcello Pelillo
KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 7 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
COOPIS
2004
IEEE
13 years 10 months ago
Comparing Approaches for Semantic Service Description and Matchmaking
Matching descriptions of user requirements against descriptions of service capabilities is crucial for the discovery of appropriate services for a given task. To improve the precis...
Sven Schade, Arnd Sahlmann, Michael Lutz, Florian ...
CICLING
2007
Springer
14 years 27 days ago
Dependency Analysis and CBR to Bridge the Generation Gap in Template-Based NLG
The present paper describes how dependency analysis can be used to automatically extract from a corpus a set of cases - and an accompanying vocabulary - which enable a template-bas...
Virginia Francisco, Raquel Hervás, Pablo Ge...