Support vector machines (SVMs) are a set of related supervised learning methods that analyze data and recognize patterns, used for classification and regression analysis.
ANN (Artificial Neural Networks) and SVM (Support Vector Machines) are two popular strategies for supervised machine learning and classification. It's …
machine-learning neural-network classification svmIn every book and example always they show only binary classification (two classes) and new vector can belong to any …
machine-learning svm libsvmI'm trying to understand the relationship between decision_function and predict, which are instance methods of SVC (http://scikit-learn.org/…
python numpy svm scikit-learnI am using LibSVM to classify some documents. The documents seem to be a bit difficult to classify as the …
machine-learning classification svm libsvmI am having difficulty with reading an image, extracting features for training, and testing on new images in OpenCV using …
c++ opencv svmUsing the code below for svm in python: from sklearn import datasets from sklearn.multiclass import OneVsRestClassifier from sklearn.svm …
python scikit-learn svmI am training svm using my traindata. (e1071 package in R). Following is the information about my data. > str(…
r svmI need a somehow descriptive example showing how to do a 10-fold SVM classification on a two class set of …
matlab machine-learning svmI have been working on scikit-learn SVMs for a binary classification problem. I have calculated the features of audio files …
arrays python-2.7 csv scikit-learn svmI am in dire need of a classification task example using LibSVM in python. I don't know how the Input …
python machine-learning svm libsvm