A Cognitive Ensemble Classifier based on Risk Sensitive Hinge Loss Function for Alzheimer's Disease diagnosis in early stages.
Vasily SachnevB. S. MahanandPublished in: SSCI (2018)
Keyphrases
- early stage
- loss function
- disease diagnosis
- risk sensitive
- early diagnosis
- optimal control
- utility function
- markov decision processes
- pairwise
- model free
- support vector
- decision theoretic
- logistic regression
- ensemble methods
- optimality criterion
- expected utility
- learning algorithm
- average cost
- training data
- feature selection
- comparative analysis
- reinforcement learning
- computer aided diagnosis
- base classifiers
- policy iteration
- control policies
- state space
- training set
- efficient optimization
- decision making