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» Learning probabilistic models of the Web
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IKE
2004
15 years 7 months ago
Open Ontologies - The Need for Modeling Heterogeneous Knowledge
In the context of open environments like the Semantic Web, knowledge-based applications with autonomous knowledge sources have recently gained increased interest. For such sources...
Tina Froehner, Matthias Nickles, Gerhard Weiß...
HT
2010
ACM
15 years 8 months ago
Assessing users' interactions for clustering web documents: a pragmatic approach
In this paper we are interested in describing Web pages by how users interact within their contents. Thus, an alternate but complementary way of labelling and classifying Web docu...
Luis A. Leiva, Enrique Vidal
AIED
2009
Springer
16 years 1 months ago
Intelligent Support for Inquiry Learning from Images: A Learning Scenario and Tool
Inquiry learning involves the learner acquiring new concepts and skills by means of carrying out an investigation. Some previous studies have looked into how these learning activit...
Paul Mulholland, Zdenek Zdráhal, Jan Abraha...
ICAS
2009
IEEE
139views Robotics» more  ICAS 2009»
16 years 1 months ago
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms
Abstract—Traditionally, performance has been the most important metrics when evaluating a system. However, in the last decades industry and academia have been paying increasing a...
Javier Alonso, Jordi Torres, Ricard Gavaldà
PKDD
2009
Springer
102views Data Mining» more  PKDD 2009»
16 years 1 months ago
Relevance Grounding for Planning in Relational Domains
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
Tobias Lang, Marc Toussaint