Issam Laradji - user overview - MetaOptimize Q+A

Issam Laradji

121

karma

Registered user
real name	Issam H. Laradji
member since	Apr 09 '13 at 12:31
last seen	Mar 09 '14 at 16:38

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7 Questions

0

votes

1

answers

963

views

Issue reconstructing input images in Convolutional Sparse Autoencoders

Mar 11 '14 at 22:13 Ng0323156●7●9●15 (asked by Issam Laradji121●7●9●12 )

autoencoder convolution sparse

0

votes

4

answers

1k

views

Creating a training set for an OCR problem

Dec 31 '13 at 17:22 Justin Bayer1706●9●30●45 (asked by Issam Laradji121●7●9●12 )

python ocr sklearn

0

votes

0

answers

1k

views

Explanation for why this Gaussian RBM did not perform so well

Sep 28 '13 at 05:06 Issam Laradji121●7●9●12

scikits-learn rbm scikit-learn gaussian

4

votes

1

answers

3k

views

Recursive neural network vs Recurrent

Jul 08 '14 at 09:49 Daniel Hershcovich1●1 (asked by Issam Laradji121●7●9●12 )

nlp neural-networks recursive recurrent-neural-networks

0

votes

1

answers

1k

views

Feature extraction using convolution

Feb 05 '14 at 23:33 Sharath Chandra311●13●16●21 (asked by Issam Laradji121●7●9●12 )

deep-learning autoencoder convolution

1

votes

0

answers

536

views

Formulating multi-label classification

Aug 02 '13 at 07:34 alto603●5●11●24 (asked by Issam Laradji121●7●9●12 )

multi-label document-classification neural-networks

0

votes

2

answers

883

views

Techniques for dealing with Imbalanced datasets

Apr 12 '13 at 10:41 Broccoli15●1●1●2 (asked by Issam Laradji121●7●9●12 )

binary auc imbalanced-data random-forests feature-extraction feature-selection ensemble

5 Answers

Neuronal Network to recognize 2 or more objects

svm for face recognition

Getting the degree of overlap between each pair of classes

Random forest with a mix of categorical and lexical features

Unbalanced class in KNN weight - cost-sensitive

5 Votes

5

0

39 Tags

sklearn × 4
python × 4
ocr × 4
neural-networks × 3
random-forests × 3
imbalanced-data × 2
binary × 2
feature-extraction × 2
scikits-learn × 2
auc × 2

autoencoder × 2
feature-selection × 2
classification × 2
ensemble × 2
convolution × 2
sampling × 1
recursive × 1
gaussian × 1
learning × 1
sparse × 1

unbalanced-data × 1
opencv × 1
data-mining × 1
deep-learning × 1
machine × 1
document-classification × 1
knn × 1
multi-label × 1
lexical-features × 1
rbm × 1

mlp × 1
svm × 1
unbalanced × 1
kinect × 1
face × 1
scikit-learn × 1
nlp × 1
recurrent-neural-networks × 1
recognition × 1

10 Kudos

● Conspicuous Question × 7
● Prominent Question × 7
● Well-Known Question × 7
● Esteemed Question × 1
● Advocate × 1
● Prized Question × 1

● Revisionist × 1
● Inquisitive × 1
● Guide × 1
● Appreciated Question × 1

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