Support vector machines (SVMs) are a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
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support vector machines in matlab
Could you give an example of classification of 4 classes using Support Vector Machines (SVM) in matlab something like:
atribute_1 atribute_2 atribute_3 atribute_4 class
1 2 3 ...
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Retraining after Cross Validation with libsvm
I know that Cross validation is used for selecting good parameters. After finding them, i need to re-train the whole data without the -v option.
But the problem i face is that after i train with -v ...
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An example using python bindings for SVM library, LIBSVM
I am deeply in need of a classification task example using LibSVM in python. The most important thing is I don't know how the Input should looks like and which function is responsible for training and ...
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Which machine learning library to use
I am looking for a library that, ideally, has the following features:
implements hierarchical clustering of multidimensional data (ideally on similiarity or distance matrix)
implements support ...
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1answer
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Example of 10-fold SVM classification in MATLAB
I need a somehow descriptive example showing how to do a 10-fold SVM classification on a two class set of data. there is just one example in the MATLAB documentation but it is not with 10-fold. Can ...
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2answers
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10 fold cross-validation in one-against-all SVM (using LibSVM)
I want to do a 10-fold cross-validation in my one-against-all support vector machine classification in MATLAB.
I tried to somehow mix these two related answers:
Multi-class classification in libsvm
...
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1answer
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SVM equations from e1071 R package?
I am interested in test the SVM performance to classify several individuals into four groups/classes. When using the svmtrain LibSVM function from MATLAB, I am able to get the three equations used to ...
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4answers
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Outlier detection in data mining [closed]
I have a few sets of questions regarding outlier detection:
Can we find outliers using k-means and is this a good approach?
Is there any clustering algorithm which does not accept any input from the ...
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2answers
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Plotting data from an svm fit - hyperplane
I used svm to find a hyperplane best fit regression dependent on q, where I have 4 dimensions: x, y, z, q.
fit <- svm(q ~ ., data=data,kernel='linear')
and here is my fit object:
Call:
...
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2answers
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SVM Classification - minimum number of input sets for each class
I'm trying to build an app to detect images which are advertisements from the webpages. Once I detect those I`ll not be allowing those to be displayed on the client side.
From the help that I got on ...
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3answers
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PCA + SVM using C++ Syntax in OpenCV 2.2
I'm having problems getting PCA and Eigenfaces working using the latest C++ syntax with the Mat and PCA classes. The older C syntax took an array of IplImage* as a parameter to perform its processing ...
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2answers
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Supprt Vector Machine works in matlab, doesn't work in c++
I'm writing an application that uses an SVM to do classification on some images (specifically these). My Matlab implementation works really well. Using a SIFT bag-of-words approach, I'm able to get ...
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Svm modeling :: Error in which.max(votematrix[, x]) : subscript out of bounds
Having a classification problem, I am using SVM for prediction in R. In dataset, there are integer as well as categorical variables. I got error while predicting with predict method.
svp3c ...
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2answers
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SVM.train_auto error opencv
i have a problem, when i call SVM.train_auto with opencv2.3 for android, i have an error with response matrix because this matrix format is wrong.
I watched opencv documentation, but it doesn't ...
android
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3answers
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SVM and Neural Network
What is difference between SVM and Neural Network?
Is it true that linear svm is same NN, and for non-linear separable problems, NN uses adding hidden layers and SVM uses changing space dimensions?
