Sample size selection in optimization methods for machine learning.
Richard H. ByrdGillian M. ChinJorge NocedalYuchen WuPublished in: Math. Program. (2012)
Keyphrases
- sample size
- optimization methods
- machine learning
- model selection
- optimization approaches
- optimization method
- simulated annealing
- optimization problems
- small sample
- random sampling
- upper bound
- small sample size
- unconstrained optimization
- machine learning algorithms
- stochastic methods
- pac learning
- small samples
- progressive sampling
- efficient optimization
- hyperparameters
- decision trees
- variance reduction
- statistical hypothesis testing
- vc dimension
- statistical power
- cross validation
- random sample
- learning algorithm
- support vector machine
- computational intelligence
- knowledge acquisition
- data mining
- direct optimization
- bayesian network models
- information criterion
- learning tasks
- learning problems
- evolutionary algorithm