Optimization for Large-Scale Machine Learning with Distributed Features and Observations.
Alexandros NathanDiego KlabjanPublished in: CoRR (2016)
Keyphrases
- machine learning
- machine learning approaches
- decision trees
- multi agent
- feature extraction
- cooperative
- optimization process
- low level
- support vector machine
- image features
- feature selection
- feature generation
- feature construction
- optimization algorithm
- optimization problems
- feature set
- computational intelligence
- information extraction
- particle swarm optimization
- knowledge representation
- machine learning algorithms
- machine learning methods
- global optimization
- learning models
- hidden markov models
- feature vectors
- feature values
- computer science
- object recognition
- machine learning models