883 search results - page 123 / 177 » Unsupervised learning in neural computation |
INTERACT
2003
13 years 11 months ago
2003
: It is known that graphic interfaces using electromyogram (EMG) generated by wrist motion are a potentially viable for a wearable computer. However, these interface prototypes see...
KSEM
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
NCA
2006
IEEE
13 years 9 months ago
2006
IEEE
The use of multilayer perceptrons (MLP) with threshold functions (binary step function activations) greatly reduces the complexity of the hardware implementation of neural networks...
EWSN
2008
Springer
14 years 9 months ago
2008
Springer
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
ICMLA
2003
13 years 11 months ago
2003
– Discretization is a process of converting a continuous attribute into an attribute that contains small number of distinct values. One of the major reasons for discretizing an a...