Highly Influenced

Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In this paper, we extend some theoretical results in this area by providing convergence analysis for regularized linear functions with an emphasis on classi cation problems. The class of methods we study in thisâ€¦Â (More)

- Linear function (calculus)
- Support vector machine
- Numerical analysis
- Probably approximately correct learning
- P1 Bacteriophage Artificial Chromosomes
- Support Vector Machine
- Vector processor
- Well-posed problem
- Linear system
- Sample complexity
- Point of View (computer hardware company)
- Neural Network Simulation
- algorithm
- Artificial neural network
- Matrix regularization
- Algorithm
- Generalization (Psychology)

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