A Support Vector Machine (SVM) is a supervised machine learning model ... most SVM implementations use Sequential Minimal Optimization (SMO), an inherently sequential algorithm. The basic idea of this ...

Considering that detecting DSP toxins-contaminated mussels from healthy mussels was an imbalanced classification problem, an improved approach of twin support vector machines ... The flow chart of the ...

It is based on a GAN and a support vector machine (SVM). A GAN is an unsupervised ML algorithm (Goodfellow et al ... An SVM is a binary classification model; its basic model is a linear classifier ...

Given the extent to which these older algorithms support ... complex machine learning frameworks. A mathematical framework introduced by American mathematician Richard Bellman in 1957, The Markov ...

This article proposes a semi-supervised co-training algorithm based on Gaussian process (GP) and support vector machine (SVM). By using a small number of initial training samples, the initial GP model ...

So, in this paper, the support vector ... of the support vector machine. Particle Swarm Optimization Algorithm (PSO) Particle swarm optimization (PSO) was first proposed by Kennedy [5] and Eberhart [6 ...