very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Class
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document...
very good Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification - A Comparative Study document...
One of the most important issues affecting the implementation of microcontroller software deals with the data-decision algorithm. Data-decision ref...
bayeserr - Computes the Bayesian risk for optimal classifier. % bayescln - Classifier based on Bayes decision rule for Gaussians. % bayesnd - Discri...
machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, ...
The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborh...