Enabling machine learning-ready HPC ensembles with Merlin.
J. Luc PetersonBenjamin BayJoe KoningPeter B. RobinsonJessica SemlerJeremy WhiteRushil AnirudhKevin AtheyPeer-Timo BremerFrancesco Di NataleDavid FoxJim A. GaffneySam Ade JacobsBhavya KailkhuraBogdan KustowskiSteve H. LangerBrian K. SpearsJayaraman J. ThiagarajanBrian Van EssenJae-Seung YeomPublished in: Future Gener. Comput. Syst. (2022)
Keyphrases
- machine learning
- decision trees
- machine learning algorithms
- high performance computing
- machine learning methods
- random forests
- pattern recognition
- fault tolerance
- computer vision
- natural language processing
- knowledge representation
- supervised learning
- information extraction
- learning systems
- inductive logic programming
- ensemble methods
- machine learning approaches
- base classifiers
- learning tasks
- explanation based learning
- scientific computing
- model selection
- transfer learning
- knowledge discovery
- knowledge base
- genetic algorithm
- data sets
- supervised machine learning
- multiple classifier systems
- data mining
- massively parallel
- learning algorithm
- feature selection
- ensemble learning
- learning models
- computer science
- inductive learning
- text mining
- knowledge acquisition
- kernel methods