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 on the World Wide Web.
Faramarz ValafarHomayoun ValafarPublished in: IC-AI (1999)
Keyphrases
- density estimation
- bayesian classification
- artificial neural networks
- reinforcement learning
- mixture model
- probability density function
- neural network
- outlier detection
- density function
- naive bayes
- gaussian mixture model
- bayesian classifiers
- learning algorithm
- feature extraction
- feature selection
- feature vectors
- unsupervised learning
- data sets
- logistic regression