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» An Introduction to Learning Structured Information
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124
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LREC
2010
216views Education» more  LREC 2010»
15 years 5 months ago
Automatic Grammar Rule Extraction and Ranking for Definitions
Learning texts contain much implicit knowledge which is ideally presented to the learner in a structured manner - a typical example being definitions of terms in the text, which w...
Claudia Borg, Mike Rosner, Gordon J. Pace
ICML
2010
IEEE
15 years 5 months ago
Improved Local Coordinate Coding using Local Tangents
Local Coordinate Coding (LCC), introduced in (Yu et al., 2009), is a high dimensional nonlinear learning method that explicitly takes advantage of the geometric structure of the d...
Kai Yu, Tong Zhang
151
Voted
CIKM
2009
Springer
15 years 10 months ago
L2 norm regularized feature kernel regression for graph data
Features in many real world applications such as Cheminformatics, Bioinformatics and Information Retrieval have complex internal structure. For example, frequent patterns mined fr...
Hongliang Fei, Jun Huan
IV
2007
IEEE
366views Visualization» more  IV 2007»
15 years 10 months ago
Algorithm Visualization in Teaching Spatial Data Algorithms
Algorithm visualization is a widely–used tool for teaching data structures and algorithms. Spatial data algorithms are algorithms that are designed to process multidimensional d...
Jussi Nikander, Juha Helminen
INFOCOM
2005
IEEE
15 years 9 months ago
MV routing and capacity building in disruption tolerant networks
— Disruption-Tolerant networks (DTNs) differ from other types of networks in that capacity is exclusively created by the movements of participants. This implies that understandin...
Brendan Burns, Oliver Brock, Brian Neil Levine