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» Learning from a Population of Hypotheses
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AMAI
2004
Springer
14 years 3 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
SEMWEB
2005
Springer
14 years 3 months ago
Bootstrapping Ontology Alignment Methods with APFEL
Abstract. Ontology alignment is a prerequisite in order to allow for interoperation between different ontologies and many alignment strategies have been proposed to facilitate the ...
Marc Ehrig, Steffen Staab, York Sure
AAAI
2000
13 years 11 months ago
Information Extraction with HMM Structures Learned by Stochastic Optimization
Recent research has demonstrated the strong performance of hidden Markov models applied to information extraction--the task of populating database slots with corresponding phrases...
Dayne Freitag, Andrew McCallum
ICOST
2011
Springer
13 years 1 months ago
Using Association Rule Mining to Discover Temporal Relations of Daily Activities
The increasing aging population has inspired many machine learning researchers to find innovative solutions for assisted living. A problem often encountered in assisted living set...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
AIED
2009
Springer
14 years 4 months ago
Feedback Specificity and the Learning of Intercultural Communication Skills
The role of explicit feedback in learning has been studied from a variety of perspectives and in many contexts. In this paper, we examine the impact of the specificity of feedback ...
Matthew Hays, H. Chad Lane, Daniel Auerbach, Mark ...