A Kind of Fuzzily Combinative Classifiers for Solving Large-Scale Learning Problems.
Daqi GaoShangming ZhuPublished in: FUZZ-IEEE (2005)
Keyphrases
- learning problems
- machine learning algorithms
- learning tasks
- convex optimization problems
- learning algorithm
- supervised learning algorithms
- supervised learning
- kernel methods
- support vector
- binary classification
- pac learning
- linear support vector machines
- generalization bounds
- decision trees
- training data
- semi supervised learning
- multiple kernel learning
- multi task learning
- computational learning theory
- reinforcement learning
- sample complexity
- multi task
- induction algorithms
- statistical learning theory
- error correcting output codes
- training set
- feature selection
- binary classifiers
- machine learning
- semi supervised
- supervised classification
- linear classifiers
- class labels
- classification accuracy
- real world
- convex optimization
- active learning
- multi class
- feature set
- kernel machines
- training samples
- training examples
- data sets