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ATAL
2007
Springer
15 years 4 months ago
A framework for agent-based distributed machine learning and data mining
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Jan Tozicka, Michael Rovatsos, Michal Pechoucek
ESWS
2009
Springer
15 years 4 months ago
The Relevance of Reasoning and Alignment Incoherence in Ontology Matching
Abstract. Ontology matching has become an important field of research over the last years. Although many different approaches have been proposed, only few of them are committed t...
Christian Meilicke
ECTEL
2006
Springer
15 years 1 months ago
A Formal Model of Learning Object Metadata
In this paper, we introduce a new, formal model of learning object metadata. The model enables more formal, rigorous reasoning over metadata. An important feature of the model is t...
Kris Cardinaels, Erik Duval, Henk J. Olivié
ACL
2012
13 years 7 days ago
Labeling Documents with Timestamps: Learning from their Time Expressions
Temporal reasoners for document understanding typically assume that a document’s creation date is known. Algorithms to ground relative time expressions and order events often re...
Nathanael Chambers
CORR
2012
Springer
198views Education» more  CORR 2012»
13 years 5 months ago
Lipschitz Parametrization of Probabilistic Graphical Models
We show that the log-likelihood of several probabilistic graphical models is Lipschitz continuous with respect to the ￿p-norm of the parameters. We discuss several implications ...
Jean Honorio