Accelerated Parallel Optimization Methods for Large Scale Machine Learning.
Haipeng LuoPatrick HaffnerJean-François PaiementPublished in: CoRR (2014)
Keyphrases
- optimization methods
- machine learning
- optimization approaches
- optimization method
- optimization problems
- simulated annealing
- global convergence
- stochastic methods
- trust region
- continuous optimization
- machine learning methods
- data mining
- unconstrained optimization
- parallel processing
- real world
- feature selection
- support vector machine
- direct optimization
- inverse problems
- particle swarm
- gradient method
- portfolio optimization
- efficient optimization
- information retrieval
- parallel implementation
- dynamic programming
- decision trees
- evolution strategy
- learning algorithm
- bayesian network models
- information extraction