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» A Formal Model for Process Context Learning
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ICML
1996
IEEE
16 years 18 days ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
CIKM
2007
Springer
15 years 6 months ago
Utilizing a geometry of context for enhanced implicit feedback
Implicit feedback algorithms utilize interaction between searchers and search systems to learn more about users’ needs and interests than expressed in query statements alone. Th...
Massimo Melucci, Ryen W. White
ENTCS
2006
1305views more  ENTCS 2006»
14 years 11 months ago
Communication Attitudes: A Formal Approach to Ostensible Intentions, and Individual and Group Opinions
Conventional approaches to the modeling of autonomous agents and agent communication rely heavily on the ascription of mental properties like beliefs and intentions to the individ...
Matthias Nickles, Felix A. Fischer, Gerhard Wei&sz...
ESWS
2010
Springer
14 years 10 months ago
The Semantic Gap of Formalized Meaning
Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
Sebastian Hellmann
FOIS
2006
15 years 1 months ago
Formalizing Ontology Alignment and its Operations with Category Theory
An ontology alignment is the expression of relations between different ontologies. In order to view alignments independently from the language expressing ontologies and from the te...
Antoine Zimmermann, Markus Krötzsch, Jé...