Combining MLC and SVM classifiers for learning based decision making: analysis and evaluations.
(2015)
Journal Article
ZHANG, Y., REN, J. and JIANG, J. 2015. Combining MLC and SVM classifiers for learning based decision making: analysis and evaluations. Computational intelligence and neuroscience [online], 2015, article ID 423581. Available from: https://doi.org/10.1155/2015/423581
Maximum likelihood classifier (MLC) and support vector machines (SVM) are two commonly used approaches in machine learning. MLC is based on Bayesian theory in estimating parameters of a probabilistic model, whilst SVM is an optimization based nonpara... Read More about Combining MLC and SVM classifiers for learning based decision making: analysis and evaluations..