Support vector machines (SVMs) are a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
If I define my own method of determining the similarity between two input entities of my Support Vector Machine classifier, …
machine-learning data-mining svmRecently I started toying with neural networks. I was trying to implement an AND gate with Tensorflow. I am having …
python machine-learning neural-network svm tensorflowI am trying to plot my svm model. library(foreign) library(e1071) x <- read.arff("contact-lenses.arff") #alt: …
r weka svmI am currently performing multi class SVM with linear kernel using python's scikit library. The sample training data and testing …
python python-2.7 scikit-learn svm data-scienceLooking for tutorials and/or sample code for libSVM's C++ interface. Specifically, I want to classify features extracted by using …
c++ machine-learning svm libsvmI have this little problem with sklearn in python. It seems that I installed it correctly and indeed when I …
python scikit-learn svm svcI keep getting this when I run SVM python code: Warning (from warnings module): File "/usr/local/lib/python2.7/dist-packages/…
python python-2.7 svmI am trying to build a classifier using SVM light which classifies a document in one of the two classes. …
machine-learning svm svmlightI have an unbalanced dataset, so I have an strategy for oversampling that I only apply during training of my …
python validation scikit-learn svmI am currently working on a project where I have to extract the facial expression of a user (only one …
opencv machine-learning classification svm libsvm