Nearest Class Vector Classification for Large-Scale Learning Problems.
Alexandros IosifidisAnastasios TefasIoannis PitasPublished in: TrustCom/BigDataSE/ISPA (2) (2015)
Keyphrases
- learning problems
- supervised learning
- machine learning algorithms
- binary classification
- machine learning
- multi class classification
- learning tasks
- class labels
- supervised learning algorithms
- learning algorithm
- semi supervised learning
- kernel based learning
- convex optimization problems
- feature vectors
- kernel methods
- pac learning
- classification accuracy
- unsupervised learning
- reproducing kernel hilbert space
- multiple kernel learning
- multi task learning
- computational learning theory
- binary classification problems
- decision trees
- sample complexity
- reinforcement learning
- support vector
- feature extraction
- support vector machine
- pattern recognition
- feature selection
- binary classifiers
- active learning
- kernel machines
- multi task
- kernel learning
- model selection
- multiclass problems
- error correcting output codes
- text classification
- data sets