212 search results - page 5 / 43 » Property Testing and Its Connection to Learning and Approxim... |
130
Voted
CONIELECOMP
2006
IEEE
15 years 11 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
140
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JMLR
2010
14 years 12 months ago
2010
Contrastive Divergence (CD) is a popular method for estimating the parameters of Markov Random Fields (MRFs) by rapidly approximating an intractable term in the gradient of the lo...
308
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CVPR
2009
IEEE
17 years 5 days ago
2009
IEEE
Markov random field (MRF, CRF) models are popular in
computer vision. However, in order to be computationally
tractable they are limited to incorporate only local interactions
a...
133
Voted
LCN
2005
IEEE
15 years 10 months ago
2005
IEEE
— Recent advances in microelectronic technology have made it possible to construct compact and inexpensive wireless sensors. Sensor networks have received significant attention ...
171
Voted
JMLR
2006
15 years 5 months ago
2006
We develop a new component analysis framework, the Noisy-Or Component Analyzer (NOCA), that targets high-dimensional binary data. NOCA is a probabilistic latent variable model tha...