Optimization for Large-Scale Machine Learning with Distributed Features and Observations.
Alexandros NathanDiego KlabjanPublished in: MLDM (2017)
Keyphrases
- machine learning
- cooperative
- decision trees
- machine learning approaches
- small scale
- low level
- feature construction
- optimization algorithm
- distributed systems
- feature vectors
- support vector machine
- optimization problems
- feature generation
- machine learning algorithms
- pattern recognition
- feature extraction
- artificial intelligence
- co occurrence
- computational intelligence
- information extraction
- feature space
- text classification
- multi agent
- spatial information
- machine learning methods
- optimization process
- computer vision
- multiple features
- data sets