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ualex

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karma

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member since	Jul 01 '10 at 14:42
last seen	Aug 29 '13 at 12:37

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3 Questions

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votes

0

answers

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Is there any modern neural network / deep learning application where the optimization goal is to find a set of orthogonal vectors?

Aug 29 '13 at 17:25 SeanV336●2●9 (asked by ualex161●4●6●11 )

deep-learning optimization neural-networks matrix

1

votes

2

answers

2k

views

Adding an affine term to linear SVM / logistic regression objective function

Feb 09 '12 at 08:13 Davis King196●2●6 (asked by ualex161●4●6●11 )

svm linearclassifiers optimization logistic-regression svm-software liblinear

2

votes

1

answers

1k

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Can you think of interesting applications for being able to perform PCA on 10^6 - 10^9 dimensional data?

Nov 09 '11 at 16:49 Keith Stevens621●6●13●27 (asked by ualex161●4●6●11 )

dimensionality-reduction pca large-scale

9 Answers

is it possible to define a conditional entropy based on distances between points and clusters ?

lasso condition

ImageNet Dataset Size

Soft thresholding + KKT for lasso

"smart" unsupervised dimensionality reduction and feature selection for "large" problems

Available face datasets?

How to optimize L1-regularized objective function with L-BFGS? (Can R implementation do it?)

Good Freely Available Textbooks on Machine Learning

Good Textbooks on Optimization

123 Votes

120

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41 Tags

optimization × 7
logistic-regression × 4
linearclassifiers × 4
svm-software × 4
svm × 4
liblinear × 4
large-scale × 3
lasso × 3
kkt × 2
dimensionality-reduction × 2

soft-thresholding × 2
random × 1
imagenet × 1
machine-learning × 1
free × 1
textbooks × 1
feature-selection × 1
books × 1
dataset × 1
sparse × 1

deep-learning × 1
conditional × 1
computer-vision × 1
faces × 1
distance-measures × 1
textbook × 1
l-bfgs × 1
game × 1
entropy × 1
book × 1

neural-networks × 1
image-processing × 1
forest × 1
matrix × 1
r × 1
ai × 1
clustering × 1
pca × 1
l1 × 1
regularization × 1

machine-vision × 1

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