Classification of astrocytomas and oligodendrogliomas from mass spectrometry data using sparse kernel machines.
Jacob HuangBehnood GholamiNathalie Y. R. AgarIsaiah NortonWassim M. HaddadAllen R. TannenbaumPublished in: EMBC (2011)
Keyphrases
- kernel machines
- mass spectrometry data
- pattern classification
- support vector
- pattern recognition
- machine learning
- cancer classification
- training set
- support vector machine
- sparse representation
- feature vectors
- random projections
- text classification
- supervised learning
- semi supervised
- unsupervised learning
- svm classifier
- machine learning methods
- high throughput
- image classification
- classification models
- kernel learning
- labeled and unlabeled data
- multi class
- pairwise