Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coefficients of the ...

Taking motivation from Twin Support Vector Machine (TWSVM), Peng (2009) attempted to propose Twin Support Vector Regression (TSVR) where regressor was obtained via solving pair of Quadratic ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

In this study, a fuzzy support vector machine is proposed based on geometric algebra named Clifford fuzzy support vector machine for regression (CFSVR). Through fuzzy membership, different input ...

python machine-learning numpy sklearn project pandas india polynomial-regression regression-models aqi support-vector-regression decision-tree-regression random-forest-regression ...

This manuscript proposes a customized plagiarism detection algorithm tailored to detect source code plagiarism in the Python programming language. Our approach combines textual and syntactic ...

reinforcement-learning random-forest svm naive-bayes linear-regression cnn thompson-sampling xgboost pca logistic-regression apriori lda ann decision-tree nlp-machine-learning k-nn ...