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CVPR
2006
IEEE
14 years 12 months ago
Applying Ensembles of Multilinear Classifiers in the Frequency Domain
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
Christian Bauckhage, Thomas Käster, John K. T...
CPHYSICS
2008
96views more  CPHYSICS 2008»
13 years 10 months ago
Moment distributions of clusters and molecules in the adiabatic rotor model
We present a Fortran program to compute the distribution of dipole moments of free particles for use in analyzing molecular beams experiments that measure moments by deflection in...
G. E. Ballentine, G. F. Bertsch, N. Onishi, K. Yab...
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
14 years 3 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
BMCBI
2010
115views more  BMCBI 2010»
13 years 10 months ago
Multiconstrained gene clustering based on generalized projections
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...
GCA
2007
13 years 11 months ago
Adding a Campus Cluster to the SURAgrid Regional Computing Grid
This work describes the creation of a university computing cluster and its integration with the SURAgrid. The project involved acquiring and installing a cluster and adding softwa...
Brian Brooks, Kenneth Hoganson