Optimal Sampling of Parametric Families: Implications for Machine Learning.
Adrian E. G. HuberJithendar AnumulaShih-Chii LiuPublished in: Neural Comput. (2020)
Keyphrases
- machine learning
- optimal solution
- pattern recognition
- machine learning methods
- random sampling
- data mining
- learning algorithm
- data sets
- machine learning approaches
- knowledge acquisition
- dynamic programming
- natural language processing
- computational intelligence
- sample size
- knowledge discovery
- closed form
- optimal control
- supervised machine learning
- machine learning algorithms
- text classification
- natural language
- decision trees
- feature selection
- genetic algorithm
- neural network