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» Interrogative theory of information and knowledge
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AI
2002
Springer
13 years 7 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
NOMS
2010
IEEE
195views Communications» more  NOMS 2010»
13 years 5 months ago
Optimized network configuration parameter assignment based on graph coloring
The trend for future mobile networks is to move away from Network Elements (NEs) delivered with specially tailored configurations towards off-the-shelf products. The configurations...
Tobias Bandh, Georg Carle, Henning Sanneck, Lars-C...
EMNLP
2009
13 years 5 months ago
Statistical Estimation of Word Acquisition with Application to Readability Prediction
Models of language learning play a central role in a wide range of applications: from psycholinguistic theories of how people acquire new word knowledge, to information systems th...
Paul Kidwell, Guy Lebanon, Kevyn Collins-Thompson
FLAIRS
2011
12 years 11 months ago
Intentional Analysis of Medical Conversations for Community Engagement
With an explosion in the proliferation of user-generated content in communities, information overload is increasing and quality of readily available online content is deterioratin...
Saurav Sahay
WWW
2005
ACM
14 years 8 months ago
AVATAR: an approach based on semantic reasoning to recommend personalized TV programs
In this paper a TV recommender system called AVATAR (AdVAnce Telematic search of Audiovisual contents by semantic Reasoning) is presented. This tool uses the experience gained in ...
Yolanda Blanco-Fernández, José J. Pa...