Radar detection with the Neyman-Pearson criterion using supervised-learning-machines trained with the cross-entropy error.
María-Pilar Jarabo-AmoresDavid de la Mata-MoyaRoberto Gil-PitaManuel Rosa-ZureraPublished in: EURASIP J. Adv. Signal Process. (2013)
Keyphrases
- neyman pearson
- cross entropy
- learning machines
- support vector machine
- type ii
- neural network
- learning algorithm
- support vector
- maximum likelihood
- supervised learning
- learning tasks
- ensemble learning
- error function
- generalization error
- machine learning
- training algorithm
- log likelihood
- pairwise
- unsupervised learning
- semi supervised
- multi class
- ranking functions
- training set
- training data
- feature selection