Questions Tagged With noise - MetaOptimize Q+A

Questions Tagged With noise

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Autoencoders fail to construct meaningfull features for my dataset

Feb 18 '14 at 07:46 DimitrisM1

autoencoders noise features

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Denoising autoencoder not performing optimally at test tim

Jun 11 '13 at 23:44 justonium1

autoencoders bias autoencoder noise reconstruction

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RBM with deterministic linear visible layer

Apr 28 '13 at 08:00 Nghia46 (asked by Lobachevsky16 )

contrastive-divergence noise gaussian sampling rbm neural-networks

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Strategies for multi-class classification problem with noisy data.

Nov 15 '12 at 02:52 Joseph Turian ♦♦5790 (asked by gorichen1 )

multi-class multi-task-learning noise

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How to deal with noisy data

Mar 04 '12 at 23:27 Leon Palafox ♦4085 (asked by nightride117 )

detection fraud noise

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Whether to use raw output of transfer functions -vs- 'sampled' values, and why

Feb 22 '12 at 22:08 Brian Vandenberg824

noise sampling rbm rectified-linear-units neural-networks latent-variables

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Likelihood as a function of the noise?

Nov 20 '11 at 02:30 Pardis56

inverse-problems noise likelihood maximum-likelihood

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avoiding cheating in cleaning up a text classification data set

Jul 08 '11 at 20:18 Robert Layton1625 (asked by Dave Lewis890 )

data-quality overfitting errors preprocessing test-collections noise cleaning datasets labeling

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Adding noise to (text) data

Dec 06 '10 at 13:00 Dave Lewis890 (asked by priya venkateshan164 )

text noise data noisy

9questions tagged noise

12answers

Questions are sorted by the time of last update.

Tags

neural-networks × 186
rbm × 121
sampling × 60
data × 53
features × 52
autoencoder × 47
text × 29
overfitting × 18
datasets × 17
gaussian × 17
likelihood × 15
multi-class × 15
bias × 13
detection × 13
multi-task-learning × 13
labeling × 12
contrastive-divergence × 11
rectified-linear-units × 10
autoencoders × 9
noise × 9
preprocessing × 9
latent-variables × 8
maximum-likelihood × 8
errors × 7
noisy × 5
reconstruction × 5
cleaning × 3
data-quality × 1
fraud × 1
inverse-problems × 1
test-collections × 1

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