A Comparative study of Artificial Neural Networks Using Reinforcement learning and Multidimensional Bayesian Classification Using Parzen Density Estimation for Identification of GC-EIMS Spectra of Partially Methylated Alditol Acetates.
Faramarz ValafarHomayoun ValafarPublished in: CoRR (2020)
Keyphrases
- density estimation
- bayesian classification
- artificial neural networks
- reinforcement learning
- mixture model
- outlier detection
- probability density function
- density function
- neural network
- naive bayes
- gaussian mixture model
- multi label
- support vector machine
- expectation maximization
- generative model
- bayesian classifiers
- knn
- feature space
- learning algorithm
- genetic algorithm
- data mining