85 How does a Support Vector Machine (SVM) work? 2012-02-16T13:25:16.237

84 What is the influence of C in SVMs with linear kernel? 2012-06-23T19:54:55.740

80 How to select kernel for SVM? 2011-11-07T11:12:21.673

72 Help me understand Support Vector Machines 2010-10-24T15:11:52.427

48 What makes the Gaussian kernel so magical for PCA, and also in general? 2015-01-02T08:18:21.320

41 How to intuitively explain what a kernel is? 2015-05-18T19:43:42.813

39 Neural networks vs support vector machines: are the second definitely superior? 2012-06-08T02:59:39.850

37 Linear kernel and non-linear kernel for support vector machine? 2013-10-17T02:21:02.553

37 What are alternatives of Gradient Descent? 2014-05-09T07:21:38.047

37 Why do Convolutional Neural Networks not use a Support Vector Machine to classify? 2015-08-20T14:43:48.633

35 Why bother with the dual problem when fitting SVM? 2011-11-30T19:48:47.557

32 Is there any supervised-learning problem that (deep) neural networks obviously couldn't outperform any other methods? 2017-02-20T00:46:38.153

31 How can SVM 'find' an infinite feature space where linear separation is always possible? 2013-12-23T11:51:07.630

30 Variable importance from SVM 2010-08-28T13:34:42.963

30 How well does R scale to text classification tasks? 2011-08-13T16:52:34.583

29 Can SVM do stream learning one example at a time? 2012-04-07T19:29:07.010

29 Comparing SVM and logistic regression 2014-04-26T23:01:35.533

28 Kernel logistic regression vs SVM 2012-11-20T02:31:22.527

27 SVM, Overfitting, curse of dimensionality 2012-08-28T20:12:54.357

27 What is the statistical model behind the SVM algorithm? 2017-11-14T06:51:34.737

25 libsvm data format 2013-06-10T10:30:54.157

25 Why not just dump the neural networks and deep learning? 2017-08-11T02:30:44.357

24 How to prove that the radial basis function is a kernel? 2012-09-03T21:19:15.050

24 Is it essential to do normalization for SVM and Random Forest? 2013-04-24T00:15:29.887

23 Which search range for determining SVM optimal C and gamma parameters? 2012-11-19T16:33:43.513

22 Why are optimization algorithms defined in terms of other optimization problems? 2017-01-02T04:51:01.190

21 How does one interpret SVM feature weights? 2012-10-11T20:48:31.193

20 Support vector machines and regression 2011-07-18T14:29:05.623

19 Difference between a SVM and a perceptron 2013-06-07T19:15:37.943

19 The difference of kernels in SVM? 2014-03-20T16:47:21.380

18 Computing the decision boundary of a linear SVM model 2010-12-01T18:25:03.223

18 Support vector regression for multivariate time series prediction 2011-08-18T18:31:10.297

18 libsvm "reaching max number of iterations" warning and cross-validation 2012-09-20T13:12:48.547

17 Semi-supervised learning, active learning and deep learning for classification 2011-10-06T21:04:45.743

17 Fast method for finding best metaparameters of SVM (that is faster than grid search) 2012-02-07T21:51:18.577

17 Feature map for the Gaussian kernel 2013-09-11T14:40:50.220

17 Is Gradient Descent possible for kernelized SVMs (if so, why do people use Quadratic Programming)? 2016-05-31T10:16:43.507

17 Quiz: Tell the classifier by its decision boundary 2017-08-05T16:59:07.987

16 Advantages and disadvantages of SVM 2012-03-10T15:10:50.100

16 Is building a multiclass classifier better than several binary ones? 2012-06-18T15:12:49.837

16 How to deal with an SVM with categorical attributes 2013-03-21T11:59:29.290

16 One-class SVM vs. exemplar SVM 2013-07-01T15:59:45.580

16 What is meant by 'weak learner'? 2014-01-13T03:43:47.203

15 Best way to perform multiclass SVM 2012-01-21T19:57:53.500

15 Low classification accuracy, what to do next? 2012-09-28T20:41:24.573

15 training approaches for highly-imbalanced data set 2012-11-06T21:28:43.453

14 Fastest SVM implementation 2012-02-17T13:48:24.903

14 Grid search on k-fold cross validation 2012-08-19T23:17:36.657

14 What is the loss function of hard margin SVM? 2013-11-04T01:31:36.213

14 Intuition for Support Vector Machines and the hyperplane 2017-03-29T20:00:25.587

13 Is it possible to append training data to existing SVM models? 2012-06-20T22:34:18.387

13 When does Naive Bayes perform better than SVM? 2013-05-05T20:52:30.783

13 One-vs-All and One-vs-One in svm? 2014-03-23T19:30:43.753

13 SVM for unbalanced data 2014-04-18T20:06:25.337

13 How to transform categorical variable into numerical variable when using SVM or Neural Network 2015-02-25T02:37:00.897

13 The difference between logistic regression and support vector machines? 2015-03-08T22:55:21.433

13 What does the "machine" in "support vector machine" and "restricted Boltzmann machine" mean? 2017-02-10T05:53:18.940

12 Problem with e1071 libsvm? 2012-03-27T22:42:50.617

12 Is it OK to mix categorical and continuous data for SVM (Support Vector Machines)? 2013-02-21T00:56:54.157

12 How to determine the optimal threshold for a classifier and generate ROC curve? 2014-11-07T19:20:14.923

11 Should an SVM grid search show a high-accuracy region with low accuracies around? 2011-01-04T14:06:34.460

11 Interpreting distance from hyperplane in SVM 2011-08-27T12:36:28.537

11 SVM with unequal group sizes in training data 2011-11-05T00:21:58.183

11 What is a kernel and what sets it apart from other functions 2012-02-16T16:25:28.970

11 Does a sparse training set adversely affect an SVM? 2012-02-09T20:46:56.810

11 How to prove there is no finite-dimensional feature space for Gaussian RBF kernel? 2012-09-19T20:02:47.070

11 Should I use the Kernel Trick whenever possible for non-linear data? 2014-02-08T17:19:40.980

11 KKT in a nutshell graphically 2017-01-10T02:22:13.137

10 Which kernel method gives the best probability outputs? 2010-12-28T16:32:06.750

10 Improving the SVM classification of diabetes 2011-08-13T03:20:28.530

10 The relationship between the number of support vectors and the number of features 2012-08-08T02:37:24.280

10 predict_proba is not available when probability=False 2015-04-15T07:39:14.137

10 Kernel SVM: I want an intuitive understanding of mapping to a higher-dimensional feature space, and how this makes linear separation possible 2015-08-20T13:44:51.077

10 Optimizing a Support Vector Machine with Quadratic Programming 2015-11-03T04:10:20.580

9 Understanding SVM regression: objective function and "flatness" 2011-01-03T23:31:11.083

9 SVM, variable interaction and training data fit 2012-01-18T17:27:11.277

9 How to perform genetic-algorithm variable selection in R for SVM input variables? 2012-02-27T15:25:17.443

9 How to obtain decision boundaries from linear SVM in R? 2012-04-11T17:33:04.030

9 Using Adaboost with SVM for classification 2012-05-04T14:21:09.040

9 Given a set of points in two dimensional space, how can one design decision function for SVM? 2012-11-16T08:20:59.157

9 Which SVM kernel to use for a binary classification problem? 2013-02-03T13:56:13.723

9 Mixing continuous and binary data with linear SVM? 2014-01-21T16:42:07.537

9 Difference between ep-SVR and nu-SVR (and least squares SVR) 2014-04-17T10:13:19.510

9 Does Support Vector Machine handle imbalanced Dataset? 2014-10-30T19:29:16.403

9 Is Support Vector Machine sensitive to the correlation between the attributes? 2015-05-04T14:21:12.817

9 How to train an SVM via backpropagation? 2015-06-25T22:33:35.927

9 How to kernelize a simple perceptron? 2015-10-17T09:37:16.433

9 Why is the bias term in SVM estimated separately, instead of an extra dimension in the feature vector? 2015-11-30T13:49:43.167

9 How different is Support Vector Regression compared to SVM? 2016-02-23T22:40:49.343

9 RBF SVM use cases (vs logistic regression and random forest) 2016-02-29T15:00:48.780

9 How to know if a learning curve from SVM model suffers from bias or variance? 2016-06-27T11:11:29.603

9 How does a Relevance Vector Machine (RVM) work? 2016-09-28T13:55:41.017

8 How does one appropriately apply cross-validation in the context of selecting learning parameters for support vector machines? 2011-04-08T13:29:59.237

8 Best way to handle unbalanced multiclass dataset with SVM 2012-01-11T23:21:39.240

8 Support vector regression on skewed/high kurtosis data 2012-04-05T19:48:12.037

8 Manifold regularization using laplacian graph in SVM 2012-08-25T17:59:31.330

8 Use of the Gamma parameter with support vector machines 2012-09-20T15:31:29.630

8 SVM regression with longitudinal data 2012-12-10T11:27:48.450

8 What are the advantages of Multiple Kernel Learning (MKL) methods? 2013-01-11T16:18:29.257