Variably Scaled Kernels Improve Classification of Hormonally-Treated Patient-Derived Xenografts.
Francesco MarchettiFabio De MartinoMarie ShamseddinStefano De MarchiCathrin BriskenPublished in: EAIS (2020)
Keyphrases
- support vector
- pattern classification
- classification scheme
- feature space
- decision trees
- svm classification
- classification accuracy
- classification algorithm
- decision rules
- class labels
- benchmark datasets
- text classification
- preprocessing
- training data
- feature selection
- classification systems
- kernel learning
- machine learning
- correct classification
- text categorization
- support vector machine
- pattern recognition
- classification method
- machine learning algorithms
- gaussian processes
- linear combination
- kernel machines
- active learning