A Kernel Based Feature Selection Method Used in the Diagnosis of Wisconsin Breast Cancer Dataset.
P. JaganathanN. RajkumarR. NagalakshmiPublished in: ACC (1) (2011)
Keyphrases
- kernel function
- kernel methods
- fault diagnosis
- medical diagnosis
- support vector
- fault detection
- attention deficit hyperactivity disorder
- model based reasoning
- kernel learning
- component analysis
- diagnostic tests
- model based diagnosis
- multiple faults
- feature space
- kernel regression
- breast cancer diagnosis
- medical diagnostic
- clinically relevant
- sparse kernel
- cardiovascular disease
- multiple kernel learning
- heart disease
- kernel pca
- data sets
- gaussian processes
- dynamic systems
- loss function
- image classification
- classification accuracy
- image segmentation