Customising parallelism and caching for machine learning.
Andreas FidjelandWayne LukPublished in: FPT (2003)
Keyphrases
- machine learning
- artificial intelligence
- machine learning methods
- pattern recognition
- computer vision
- explanation based learning
- parallel processing
- data mining
- feature selection
- inductive learning
- natural language processing
- knowledge acquisition
- massively parallel
- computer science
- data analysis
- knowledge representation
- information extraction
- computational intelligence
- learning algorithm
- data access
- supervised machine learning
- parallel computing
- computational power
- machine learning algorithms
- text classification
- support vector machine
- transfer learning
- model selection
- supervised learning
- shared memory
- computational biology
- parallel implementation
- active learning
- expert systems
- decision trees
- parallel computation
- parallel architectures
- databases