How to Formulate and Solve Statistical Recognition and Learning Problems.
Michail I. SchlesingerEvgeniy VodolazskiyPublished in: CoRR (2015)
Keyphrases
- learning problems
- learning tasks
- learning algorithm
- supervised learning
- kernel methods
- machine learning algorithms
- sample complexity
- semi supervised learning
- machine learning
- pac learning
- reinforcement learning
- object recognition
- unsupervised learning
- multi task learning
- statistical learning theory
- kernel based learning
- multi task
- computational learning theory
- real world
- pattern recognition
- feature extraction
- kernel function
- training examples
- image segmentation
- feature selection
- structured sparsity
- data sets