Questions Tagged With svm - MetaOptimize Q+A

Questions Tagged With svm

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2

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7

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Using Naive Bayes classifier to select features for more sophisticated classifier?

Mar 12 '11 at 19:55 Joseph Turian ♦♦5790 (asked by Parand115 )

bayesian feature-selection svm nltk

3

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2

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Regression confidence using SVMs in python

Mar 01 '11 at 14:39 Oscar Täckström2039 (asked by Ciarán231 )

python svm margin regression

1

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3

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How should I debug classification problem where cross-validation performs much better than on test set?

Feb 09 '11 at 17:29 Alexandre Passos ♦25541 (asked by Chung Wu16 )

feature-selection svm crossvalidation classification

3

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2

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Nonlinear Regression

Feb 03 '11 at 13:31 osdf670 (asked by Oliver Mitevski872 )

svm regression gaussian-processes

1

votes

2

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1k

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User centric guide to machine learning for data mining

Jan 25 '11 at 20:46 Will Dwinnell312 (asked by CWhite30 )

pca svm data-mining

3

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3

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4k

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String Kernel Implementation

Jan 24 '11 at 16:48 Travis Wolfe235

dynamic-programming kernel svm string-kernels classification

1

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1

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3k

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Understanding SVM regression: objective function and "flatness"

Jan 07 '11 at 05:24 Yaroslav Bulatov2333 (asked by Yang Zhang291 )

4

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5

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3k

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What are some relevant papers in one-class learning and outlier detection?

Dec 03 '10 at 07:16 Alexandre Passos ♦25541

svm one-class outlier density novelty references

2

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5

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2k

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What are the main approaches to semi-supervised learning?

Dec 03 '10 at 07:13 Alexandre Passos ♦25541

svm state-of-the-art entropy references semi-supervised co-training

11

votes

1

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9k

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Understanding the "Kernel Trick"

Nov 05 '10 at 01:58 kpx541 (asked by Daniel Duckwoth954 )

kernel rkhs svm hilbert kernel-trick

4

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3

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Modifying class balance in online learning?

Oct 27 '10 at 19:27 ogrisel4989 (asked by Colin Cherry66 )

implementation-trick online-learning classification svm

0

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2

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1k

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distribution over classifier when the data points are perturbed

Oct 23 '10 at 04:46 Alexandre Passos ♦25541 (asked by vedArun1 )

perturbation svm multipliers lagrange

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1

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A basic question about Linear SVM

Jul 18 '10 at 15:06 kpx541

2

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2

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In learning with kernels, are RKHS only used to allow the use of a mercer kernel or is there some other essential property?

Jul 16 '10 at 12:58 Alexandre Passos ♦25541

kernel regularization svm rkhs feature learning-theory

134questions tagged svm

208answers

Newest questions are shown first.

Tags

classification × 237
svm × 134
regression × 101
python × 97
bayesian × 69
data-mining × 64
feature-selection × 57
pca × 44
kernel × 38
references × 36
regularization × 36
online-learning × 34
crossvalidation × 26
nltk × 25
state-of-the-art × 20
semi-supervised × 19
feature × 18
learning-theory × 17
gaussian-processes × 11
kernel-trick × 10
linear × 9
entropy × 6
lagrange × 5
outlier × 5
rkhs × 5
margin × 4
string-kernels × 4
co-training × 3
dynamic-programming × 3
density × 2
novelty × 2
one-class × 2
hilbert × 1
implementation-trick × 1
multipliers × 1
perturbation × 1

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