Early Detection of the Alzheimer Disease Combining Feature Selection and Kernel Machines.
Javier RamírezJuan Manuel GórrizMíriam LópezDiego Salas-GonzalezIgnacio ÁlvarezFermín SegoviaCarlos García PuntonetPublished in: ICONIP (2) (2008)
Keyphrases
- early detection
- kernel machines
- early diagnosis
- feature selection
- support vector
- breast cancer
- lung cancer
- kernel learning
- semi supervised
- multiple kernel learning
- multi task
- support vector machine
- logistic regression
- model selection
- kernel function
- multi class
- learning machines
- text categorization
- kernel methods
- computer aided diagnosis
- machine learning
- information gain
- dimensionality reduction
- liver disease
- skin cancer
- biomarker discovery
- text classification
- classification accuracy
- feature space
- support vector regression
- high dimensionality
- cross validation
- loss function
- semi supervised learning
- reproducing kernel hilbert space
- unsupervised learning
- skin lesion
- supervised learning
- bayesian networks