Heterogeneous reconfigurable architectures for machine learning dataflows.
Westerley CarvalhoMichael CanescheLucas ReisJosé Augusto Miranda NacifRicardo S. FerreiraPublished in: Concurr. Comput. Pract. Exp. (2023)
Keyphrases
- machine learning
- heterogeneous computing
- machine learning algorithms
- machine learning methods
- computer vision
- hardware implementation
- low cost
- learning algorithm
- decision trees
- natural language processing
- reconfigurable architecture
- data intensive
- support vector machine
- information extraction
- data mining
- machine learning and data mining
- heterogeneous data
- knowledge acquisition
- parallel processing
- learning tasks
- computational intelligence
- feature selection
- pattern recognition
- computer science
- genetic algorithm
- artificial intelligence
- interconnection networks
- fine grain
- supervised machine learning
- heterogeneous environments
- information retrieval
- machine learning approaches
- active learning
- text mining
- general purpose
- learning systems
- data management
- semi supervised learning