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COLING
2002
13 years 7 months ago
Extracting Important Sentences with Support Vector Machines
Extracting sentences that contain important information from a document is a form of text summarization. The technique is the key to the automatic generation of summaries similar ...
Tsutomu Hirao, Hideki Isozaki, Eisaku Maeda, Yuji ...
ICML
2004
IEEE
14 years 8 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
SEMWEB
2005
Springer
14 years 1 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
AIPS
2008
13 years 10 months ago
An Online Learning Method for Improving Over-Subscription Planning
Despite the recent resurgence of interest in learning methods for planning, most such efforts are still focused exclusively on classical planning problems. In this work, we invest...
Sung Wook Yoon, J. Benton, Subbarao Kambhampati
BMCBI
2010
176views more  BMCBI 2010»
13 years 8 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...