Comparison of Statistical and Artificial Neural Networks Classifiers by Adjusted Non Parametric Probability Density Function Estimate.
Ibtissem Ben OthmanWissal DriraFaycel El AyebFaouzi GhorbelPublished in: VISAPP (1) (2015)
Keyphrases
- probability density function
- artificial neural networks
- statistical methods
- bayes classifier
- probability density
- statistical distribution
- kernel density estimation
- statistical analysis
- density estimation
- density function
- probability distribution
- parzen window
- bhattacharyya distance
- mixture model
- neural network
- kullback leibler divergence
- training data
- expectation maximization
- support vector
- bayesian framework
- em algorithm
- information theoretic
- naive bayes
- feature selection
- decision trees
- training set
- machine learning methods
- gaussian mixture model
- statistical models
- image processing
- computer vision
- query processing
- machine learning algorithms
- fisher information
- data mining
- data sets