Optimization Methods for Large-Scale Machine Learning.
Léon BottouFrank E. CurtisJorge NocedalPublished in: SIAM Rev. (2018)
Keyphrases
- optimization methods
- machine learning
- optimization approaches
- optimization method
- optimization problems
- simulated annealing
- global convergence
- stochastic methods
- machine learning methods
- continuous optimization
- unconstrained optimization
- learning tasks
- decision trees
- machine learning algorithms
- learning algorithm
- inverse problems
- particle swarm
- gradient method
- text classification
- natural language processing
- trust region
- bayesian network models
- efficient optimization
- evolution strategy
- feature selection
- metaheuristic
- real world
- support vector machine
- search algorithm
- objective function
- genetic algorithm
- information retrieval
- data mining