1427 search results - page 96 / 286 » Learning with Annotation Noise |
122
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NN
2006
Springer
15 years 3 months ago
2006
Springer
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
122
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NN
2006
Springer
15 years 3 months ago
2006
Springer
The way of propagating and control of stochastic signals through Universal Learning Networks (ULNs) and its applications are proposed. ULNs have been already developed to form a s...
122
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NN
1998
Springer
15 years 3 months ago
1998
Springer
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
172
Voted
SDM
2009
SIAM
16 years 1 months ago
2009
SIAM
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
148
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APBC
2003
15 years 5 months ago
2003
The development of microarray technology has supplied a large volume of data to many fields. In particular, it has been applied to prediction and diagnosis of cancer, so that it e...