Algorithmic Level Approximate Computing for Machine Learning Classifiers.
Hamoud YounesAli IbrahimMostafa RizkMaurizio VallePublished in: ICECS (2019)
Keyphrases
- machine learning
- machine learning methods
- machine learning algorithms
- machine learning approaches
- decision trees
- feature selection
- data mining
- supervised classification
- pattern recognition
- inductive learning
- test set
- learning systems
- support vector
- learning classifier systems
- meta learning
- classification models
- computer science
- neural network
- text mining
- feature extraction
- learning algorithm
- ensemble learning
- classifier combination
- learning problems
- kernel function
- training samples
- higher level
- computational intelligence
- natural language processing
- information extraction
- reinforcement learning
- training data