883 search results - page 123 / 177 » Unsupervised learning in neural computation |
91
Voted
INTERACT
2003
15 years 4 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...
161
click to vote
KSEM
2009
Springer
15 years 10 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...
176
Voted
NCA
2006
IEEE
15 years 3 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...
135
Voted
EWSN
2008
Springer
16 years 3 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...
159
Voted
ICMLA
2003
15 years 4 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...