Questions asked by Brian Vandenberg - MetaOptimize Q+A

Questions asked by Brian Vandenberg

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11

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2

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Hessian-free NN algo summary

Nov 06 '14 at 13:15 Brian Vandenberg824

hessian-free neural deep-learning neural-networks conjugate-gradient deep-belief-networks paper-understanding hessian

3

votes

4

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3k

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hessian-free RNN questions

Dec 21 '13 at 11:38 Alex Vlasov61 (asked by Brian Vandenberg824 )

hessian-free paper-understanding rnn recurrent-neural-networks

3

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4

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2k

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Value of deep -vs- shallow NNs

Mar 18 '13 at 16:46 Dan Ryan406 (asked by Brian Vandenberg824 )

0

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0

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1k

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Question re: paper on 'fast multiplication by the hessian'

Jan 04 '13 at 16:43 Brian Vandenberg824

paper-understanding hessian-free

4

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0

answers

1k

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Design of RBM energy functions: how to make use of multi-parameter exponential distributions

Aug 28 '12 at 01:46 Ryan Price6 (asked by Brian Vandenberg824 )

energy-functions bolzmann-machines rbm distributions

1

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0

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567

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Methods for training kernel-based models on large data-sets

Apr 10 '12 at 10:11 Brian Vandenberg824

kernel-trick large-data-sets

2

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1

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1k

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Applying the R{} operator to RBMs; how to treat the function for sampling from a distribution?

Mar 09 '12 at 11:19 Brian Vandenberg824

r-operator rbm hessian-free

1

votes

1

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2k

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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

4

votes

3

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2k

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Current state of the art in image segmentation

Dec 11 '11 at 05:28 Andreas Mueller2686 (asked by Brian Vandenberg824 )

state-of-the-art image-segmentation

1

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1

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1k

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Filtering near-duplicate samples

Oct 15 '11 at 02:11 Mathieu Blondel1191 (asked by Brian Vandenberg824 )

duplicate-removal samples

0

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3

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1k

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Strategies for embedding a means for identifying an algorithm

Aug 06 '11 at 10:46 alto603 (asked by Brian Vandenberg824 )

signatures algorithms

0

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1

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1k

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[meta] karma not updating anymore

Jul 13 '11 at 14:06 Joseph Turian ♦♦5790 (asked by Brian Vandenberg824 )

0

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1

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1k

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Is comparing points of interest in two separate images to determine similarity an NP or NP hard problem?

Jul 12 '11 at 03:43 Alexandre Passos ♦25541 (asked by Brian Vandenberg824 )

similarity fast sift np corner-detection np-hard

0

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1

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2k

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Deriving RNN backprop equations

Jun 08 '11 at 02:21 Justin Bayer1706 (asked by Brian Vandenberg824 )

rnn recurrent-neural-networks

1

votes

3

answers

2k

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Unsupervised methods for learning [artificial] support vectors for kernel methods?

Jun 05 '11 at 02:46 Jacob Jensen1914 (asked by Brian Vandenberg824 )

kernel unsupervised kernels kernel-trick kernel-methods unsupervised-learning

0

votes

0

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834

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[meta] Nested lists not rendering properly

Apr 08 '11 at 16:47 Brian Vandenberg824

1

votes

1

answers

1k

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Question re: Gauss-newton matrix vector product

Mar 19 '11 at 08:11 Philemon Brakel2445 (asked by Brian Vandenberg824 )

hessian-free gauss-newton

0

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2

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1k

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Can an error surface take on behavior more complex than is normally depicted?

Dec 12 '10 at 02:28 Brian Vandenberg824

idle-thoughts error-surfaces

1

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2

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2k

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Questions re: Pearlmutter's paper on fast multiplication by the Hessian

Dec 09 '10 at 09:49 Brian Vandenberg824

hessian-free paper-understanding neural-networks hessian papers

19Questions asked by Brian Vandenberg

30answers

Questions are sorted by the time of last update.

Tags

neural-networks × 186
deep-learning × 128
rbm × 121
sampling × 60
similarity × 40
unsupervised-learning × 40
kernel × 38
algorithms × 35
deep-belief-networks × 33
neural × 22
state-of-the-art × 20
meta × 14
papers × 14
recurrent-neural-networks × 13
rnn × 13
unsupervised × 13
hessian-free × 12
paper-understanding × 12
kernel-trick × 10
rectified-linear-units × 10
noise × 9
kernel-methods × 8
latent-variables × 8
sift × 8
image-segmentation × 7
samples × 6
energy-functions × 5
kernels × 5
conjugate-gradient × 4
distributions × 4
hessian × 4
bolzmann-machines × 2
fast × 2
gauss-newton × 2
np × 2
np-hard × 2
corner-detection × 1
duplicate-removal × 1
error-surfaces × 1
idle-thoughts × 1
karma × 1
large-data-sets × 1
r-operator × 1
signatures × 1

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