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IJCNN
2000
IEEE
15 years 2 months ago
The Inefficiency of Batch Training for Large Training Sets
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
D. Randall Wilson, Tony R. Martinez
ICPR
2010
IEEE
15 years 2 months ago
On-Line Fmri Data Classification Using Linear and Ensemble Classifiers
The advent of real-time fMRI pattern classification opens many avenues for interactive self-regulation where the brain's response is better modelled by multivariate, rather t...
Catrin Oliver Plumpton, Ludmila I. Kuncheva, David...
ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
15 years 2 months ago
Channel equalization by feedforward neural networks
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
Biao Lu, Brian L. Evans
ICASSP
2009
IEEE
15 years 1 months ago
Improved clustered hierarchical tandem system with bottom-up processing
The outputs of multi-layer perceptron (MLP) classifiers have been successfully used in tandem systems as features for HMM-based automatic speech recognition. In a previous paper, ...
Shuo-Yiin Chang, Lin-Shan Lee
EUROPAR
2006
Springer
15 years 1 months ago
Comparison of Different Methods for Next Location Prediction
Next location prediction anticipates a person's movement based on the history of previous sojourns. It is useful for proactive actions taken to assist the person in an ubiquit...
Jan Petzold, Faruk Bagci, Wolfgang Trumler, Theo U...