156 search results - page 1 / 32 » Ensembles of Classifiers from Spatially Disjoint Data |
MCS
2005
Springer
13 years 10 months ago
2005
Springer
We describe an ensemble learning approach that accurately learns from data that has been partitioned according to the arbitrary spatial requirements of a large-scale simulation whe...
INFFUS
2008
13 years 4 months ago
2008
act 11 We describe an ensemble approach to learning from arbitrarily partitioned data. The partitioning comes from the distributed process12 ing requirements of a large scale simul...
KDD
2001
ACM
14 years 5 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
ICCV
2007
IEEE
13 years 11 months ago
2007
IEEE
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
ICTAI
2006
IEEE
13 years 10 months ago
2006
IEEE
We present an ensemble learning approach that achieves accurate predictions from arbitrarily partitioned data. The partitions come from the distributed processing requirements of ...