Stochastic Distributed Optimization for Machine Learning from Decentralized Features.
Yaochen HuDi NiuJianming YangPublished in: CoRR (2018)
Keyphrases
- machine learning
- distributed systems
- peer to peer
- multi agent
- pattern recognition
- stochastic optimization
- cooperative
- machine learning approaches
- monte carlo
- image features
- prior knowledge
- feature set
- feature construction
- distributed agents
- optimization algorithm
- extracted features
- feature engineering
- learning models
- machine learning algorithms
- optimization problems
- natural language processing
- evolutionary algorithm
- feature vectors
- computer vision
- artificial intelligence
- co occurrence
- distributed environment
- global optimization
- low level
- active learning
- feature generation
- optimization approaches