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ADCM
2008
136views more  ADCM 2008»
15 years 6 months ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
AO
2007
80views more  AO 2007»
15 years 6 months ago
Problems in the ontology of computer programs
As a first step in the larger project of charting the ontology of computer programs, we pose three central questions: (1) Can programs, hardware, and metaprograms be organized into...
Amnon H. Eden, Raymond Turner
COGSCI
2010
105views more  COGSCI 2010»
15 years 6 months ago
The Role of Explanation in Discovery and Generalization: Evidence From Category Learning
Research in education and cognitive development suggests that explaining plays a key role in learning and generalization: When learners provide explanations--even to themselves--t...
Joseph J. Williams, Tania Lombrozo
ENTCS
2008
91views more  ENTCS 2008»
15 years 6 months ago
A Name Abstraction Functor for Named Sets
bstraction Functor for Named Sets Vincenzo Ciancia 1 Ugo Montanari 1 Department of Computer Science University of Pisa lem of dening fully abstract operational models of name pass...
Vincenzo Ciancia, Ugo Montanari
GIS
2006
ACM
15 years 6 months ago
Qualitative polyline similarity testing with applications to query-by-sketch, indexing and classification
We present an algorithm for polyline (and polygon) similarity testing that is based on the double-cross formalism. To determine the degree of similarity between two polylines, the...
Bart Kuijpers, Bart Moelans, Nico Van de Weghe