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NIPS
2003
14 years 11 months ago
Perspectives on Sparse Bayesian Learning
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
83
Voted
NAACL
2007
14 years 11 months ago
Unsupervised Natural Language Processing Using Graph Models
In the past, NLP has always been based on the explicit or implicit use of linguistic knowledge. In classical computer linguistic applications explicit rule based approaches prevai...
Chris Biemann
HAPTICS
2008
IEEE
14 years 10 months ago
Developing the 'Ouch-o-Meter' to Teach Safe and Effective Use of Pressure for Palpation
Many clinical examinations involve palpation and part of the diagnostic process depends on the application of pressure. Teaching and learning such skills is difficult especially fo...
Sarah Baillie, Andrew Crossan, Neil Forrest, Steph...
130
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COLT
1994
Springer
15 years 2 months ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
78
Voted
ADBIS
1999
Springer
104views Database» more  ADBIS 1999»
15 years 2 months ago
Arbiter Meta-Learning with Dynamic Selection of Classifiers and Its Experimental Investigation
In data mining, the selection of an appropriate classifier to estimate the value of an unknown attribute for a new instance has an essential impact to the quality of the classifica...
Alexey Tsymbal, Seppo Puuronen, Vagan Y. Terziyan