On optimizing machine learning workloads via kernel fusion.
Arash AshariShirish TatikondaMatthias BoehmBerthold ReinwaldKeith CampbellJohn KeenleysideP. SadayappanPublished in: PPOPP (2015)
Keyphrases
- machine learning
- kernel methods
- feature space
- database systems
- computer systems
- active learning
- kernel function
- knowledge acquisition
- machine learning algorithms
- machine learning methods
- learning algorithm
- learning tasks
- data fusion
- explanation based learning
- model selection
- multi sensor
- pattern recognition
- data analysis
- knowledge representation
- information extraction
- natural language processing
- reinforcement learning
- access patterns
- artificial intelligence
- inductive learning
- information fusion
- learning problems
- computational intelligence
- reproducing kernel hilbert space
- support vector
- kernel matrix
- multiple kernel learning
- fusion algorithm
- kernel regression
- database
- fusion framework
- inductive logic programming
- data processing
- dimensionality reduction
- supervised learning
- multiresolution
- computer science
- feature extraction
- decision trees
- feature selection