Time series cluster kernels to exploit informative missingness and incomplete label information.
Karl Øyvind MikalsenCristina Soguero-RuízFilippo Maria BianchiArthur RevhaugRobert JenssenPublished in: Pattern Recognit. (2021)
Keyphrases
- label information
- missing data
- semi supervised
- missing values
- dimensionality reduction
- labeled data
- unlabeled data
- data points
- training data
- distance metric
- class labels
- semi supervised learning
- geometric structure
- transfer learning
- multiple types
- feature space
- supervised learning
- high dimensional data
- labeled examples
- kernel function
- kernel methods
- feature extraction
- target domain
- support vector
- learning algorithm
- feature vectors
- co occurrence
- principal component analysis