Questions Tagged With svm

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When to use L1 regularization and when L2?

Feb 13 '12 at 04:49 ctw1 (asked by yura1025 )

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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

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Relationship between SVMs vs kNN

Dec 02 '11 at 16:15 Irteza khan1 (asked by Yang Zhang291 )

knn svm

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Why are SVMs so popular?

Sep 16 '12 at 14:37 Justin Bayer1706 (asked by Bwaas136 )

svm logistic community regression

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12976

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SVM vs. Logistic Regression for classification

Sep 28 '11 at 04:19 Oliver Mitevski872

svm classification logistic-regression

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Linear SVM very slow - python scikits.learn

Sep 18 '11 at 15:58 Andreas Mueller2686 (asked by Jacob Jensen1914 )

python scikits-learn svm implementation

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Extracting Structure on a Very Complexly Interacting Feature Space

Apr 09 '12 at 21:22 gdahl ♦3414 (asked by Douglas Colkitt76 )

svm manifold neural boosting forests machine learning unsupervised-learning nets

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State of the art in structured learning with latent variables

Apr 19 '13 at 21:22 leoharrison20011 (asked by Andreas Mueller2686 )

svm structured-learning structured-prediction state-of-the-art structured-svm crf

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Selecting features correlated with those chosen by L1 regularization or other sparse methods?

Aug 03 '12 at 04:16 Gael Varoquaux921 (asked by Tosif Ahamed81 )

feature-selection svm sparse l1

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How to select the best training samples for SVM training

Mar 06 '13 at 12:59 shn462 (asked by Ciarán231 )

training svm active-learning machine-learning

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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

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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

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one-vs-all multi class SVM

Jul 30 '11 at 09:49 Andreas Mueller2686

svm classification multi-class

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String Kernel Implementation

Jan 24 '11 at 16:48 Travis Wolfe235

dynamic-programming kernel svm string-kernels classification

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Comparison of Stochastic Gradient Descent for Linear Classfiers

Dec 20 '11 at 06:09 Hannes S86 (asked by Andreas Mueller2686 )

svm online-learning sgd logistic-regression stochastic-gradient

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Why use SVMs for regression?

May 18 '13 at 19:56 Davis King196 (asked by huehue46 )

svm regression

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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

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Nonlinear Regression

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

svm regression gaussian-processes

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Explicit feature maps and encoding schemes

Nov 14 '11 at 14:53 Alexandre Passos ♦25541 (asked by Andreas Mueller2686 )

kernel svm features kernel-trick linearclassifiers feature-extraction

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Why ||w|| = 1 is a ``non-convex'' constraint ?

Jul 27 '11 at 14:45 Brian Vandenberg824 (asked by Anand51 )

support-vector-machines svm machine-learning convex

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Existing matlab code for SVM's dealing with large class sets

Jul 05 '12 at 04:45 Mathieu Blondel1191 (asked by mugetsu233 )

svm

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How to select a suitable kernel function?

May 29 '12 at 04:33 Andreas Mueller2686 (asked by Raihana31 )

machine kernel svm learning

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Tools for SVM incremental training

Mar 13 '13 at 03:12 rahulkmishra16 (asked by Konstantin341 )

training svm svm-software

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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

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Paper overview on Linear SVM's.. Please comment...

Feb 16 '12 at 00:12 shaw1 (asked by kpx541 )

gradient newton conjugate method svm

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Ensemble Learning Methods

Aug 25 '11 at 20:34 Art Munson646 (asked by Muhammad Kashif Khan44 )

and svm ensemble learning

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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

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A basic question about Linear SVM

Jul 18 '10 at 15:06 kpx541

svm linear

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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

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626

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Using Kernel-PCA with SVM

Mar 26 '13 at 12:36 Alexandre Passos ♦25541 (asked by Chris Beaumont31 )

kernel-trick svm dimensionality-reduction

134questions tagged svm

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