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» Algorithms for the Sample Mean of Graphs
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CORR
2011
Springer
169views Education» more  CORR 2011»
14 years 8 months ago
Pseudo-random graphs and bit probe schemes with one-sided error
We study probabilistic bit-probe schemes for the membership problem. Given a set A of at most n elements from the universe of size m we organize such a structure that queries of t...
Andrei E. Romashchenko
ICML
2003
IEEE
16 years 5 months ago
Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
An approach to semi-supervised learning is proposed that is based on a Gaussian random field model. Labeled and unlabeled data are represented as vertices in a weighted graph, wit...
Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty
RECOMB
2005
Springer
16 years 4 months ago
The Factor Graph Network Model for Biological Systems
Abstract. We introduce an extended computational framework for studying biological systems. Our approach combines formalization of existing qualitative models that are in wide but ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
EUROGP
2008
Springer
137views Optimization» more  EUROGP 2008»
15 years 6 months ago
A Comparison of Cartesian Genetic Programming and Linear Genetic Programming
Two prominent genetic programming approaches are the graph-based Cartesian Genetic Programming (CGP) and Linear Genetic Programming (LGP). Recently, a formal algorithm for construc...
Garnett Carl Wilson, Wolfgang Banzhaf
148
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ISAAC
2004
Springer
112views Algorithms» more  ISAAC 2004»
15 years 10 months ago
Dynamic Tree Cross Products
Abstract. Range searching over tree cross products – a variant of classic range searching – recently has been introduced by Buchsbaum et al. (Proc. 8th ESA, vol. 1879 of LNCS, ...
Marcus Raitner