801 search results - page 4 / 161 » The Inefficiency of Batch Training for Large Training Sets |
SMI
2008
IEEE
14 years 1 months ago
2008
IEEE
Training a 3D model classifier on a small dataset is very challenging. However, large datasets of partially classified models are now commonly available online. We use an external...
SEMCO
2007
IEEE
14 years 1 months ago
2007
IEEE
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
ICTAI
2006
IEEE
14 years 1 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 ...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
NCI
2004
13 years 9 months ago
2004
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...