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» Approximate algorithms for neural-Bayesian approaches
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IJCAI
2007
14 years 11 months ago
A Scalable Kernel-Based Algorithm for Semi-Supervised Metric Learning
In recent years, metric learning in the semisupervised setting has aroused a lot of research interests. One type of semi-supervised metric learning utilizes supervisory informatio...
Dit-Yan Yeung, Hong Chang, Guang Dai
COMGEO
2008
ACM
14 years 9 months ago
Approximation of an open polygonal curve with a minimum number of circular arcs and biarcs
We present an algorithm for approximating a given open polygonal curve with a minimum number of circular arcs. In computer-aided manufacturing environments, the paths of cutting t...
Robert L. Scot Drysdale, Günter Rote, Astrid ...
CLEF
2010
Springer
14 years 4 months ago
FastDocode: Finding Approximated Segments of N-Grams for Document Copy Detection - Lab Report for PAN at CLEF 2010
Nowadays, plagiarism has been presented as one of the main distresses that the information technology revolution has lead into our society for which using pattern matching algorith...
Gabriel Oberreuter, Gaston L'Huillier, Sebasti&aac...
MOBIHOC
2002
ACM
15 years 9 months ago
Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
We present a series of approximation algorithms for finding a small weakly-connected dominating set (WCDS) in a given graph to be used in clustering mobile ad hoc networks. The st...
Yuanzhu Peter Chen, Arthur L. Liestman
69
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ICML
1999
IEEE
15 years 10 months ago
Approximation Via Value Unification
: Numerical function approximation over a Boolean domain is a classical problem with wide application to data modeling tasks and various forms of learning. A great many function ap...
Paul E. Utgoff, David J. Stracuzzi