Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Gupta, R., Alam, M.A. and Agarwal, P. (2020) Modified Support Vector Machine for Detecting Stress Level Using EEG Signals. Computational Intelligence and Neuroscience ...

Generalization of SPAD inversion models In this study, a support vector machine (SVM) regression model was developed using multiple vegetation indices to estimate SPAD values. Experimental results ...

This study develops a random forest and support vector machine model combined with various technical indicators for stock price analysis. This model uses these indicators as input features to analyze ...

python svm sklearn pytorch mnist-classification support-vector-machine binary-classification svm-classifier Updated on Dec 23, 2021 Python ...

Typical improvements are cost-sensitive and ensemble learning methods. Fuzzy support vector machine (FSVM) (Lin and Wang, 2002) is a cost-sensitive algorithm. It introduces the fuzzy membership values ...