Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning.
Frank E. CurtisKatya ScheinbergPublished in: CoRR (2017)
Keyphrases
- supervised machine learning
- linear models
- optimization methods
- deep learning
- machine learning
- unsupervised learning
- variable selection
- supervised learning
- simulated annealing
- optimization method
- linear regression
- linear model
- optimization problems
- active learning
- gaussian processes
- decision trees
- least squares
- ground truth
- feature extraction
- genetic algorithm