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FLAIRS
2004
13 years 6 months ago
Random Subspacing for Regression Ensembles
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
Niall Rooney, David W. Patterson, Sarab S. Anand, ...
ICB
2009
Springer
142views Biometrics» more  ICB 2009»
13 years 9 months ago
A Random Network Ensemble for Face Recognition
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...
Kwontaeg Choi, Kar-Ann Toh, Hyeran Byun
CORR
2008
Springer
79views Education» more  CORR 2008»
13 years 5 months ago
Free Distance Bounds for Protograph-Based Regular LDPC Convolutional Codes
In this paper asymptotic methods are used to form lower bounds on the free distance to constraint length ratio of several ensembles of regular, asymptotically good, protographbased...
David G. M. Mitchell, Ali Emre Pusane, Norbert Goe...
CEC
2007
IEEE
13 years 11 months ago
Evolutionary random neural ensembles based on negative correlation learning
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
Huanhuan Chen, Xin Yao
TIT
2002
62views more  TIT 2002»
13 years 4 months ago
Random codes: Minimum distances and error exponents
Abstract--Minimum distances, distance distributions, and error exponents on a binary-symmetric channel (BSC) are given for typical codes from Shannon's random code ensemble an...
Alexander Barg, G. David Forney Jr.