Semiparametric Support Vector and Linear Programming Machines.
Alexander J. SmolaThilo-Thomas FrießBernhard SchölkopfPublished in: NIPS (1998)
Keyphrases
- semi parametric
- linear programming
- support vector
- learning machines
- regression problems
- density estimation
- regression model
- statistical inference
- logistic regression
- least squares
- dynamic programming
- objective function
- constrained optimization
- linear model
- generalization ability
- kernel function
- support vector machine
- learning algorithm
- support vector regression
- model selection
- reinforcement learning
- statistical analysis
- statistical methods
- unsupervised learning
- generative model
- bayesian inference
- hyperparameters
- genetic programming
- parametric models
- image sequences
- feature selection