Merlin: Enabling Machine Learning-Ready HPC Ensembles.
J. Luc PetersonRushil AnirudhKevin AtheyBenjamin BayPeer-Timo BremerVic CastilloFrancesco Di NataleDavid FoxJim A. GaffneyDavid HysomSam Ade JacobsBhavya KailkhuraJoe KoningBogdan KustowskiSteven H. LangerPeter B. RobinsonJessica SemlerBrian K. SpearsJayaraman J. ThiagarajanBrian Van EssenJae-Seung YeomPublished in: CoRR (2019)
Keyphrases
- machine learning
- decision trees
- machine learning methods
- high performance computing
- data mining
- ensemble learning
- feature selection
- inductive learning
- supervised machine learning
- ensemble methods
- inductive logic programming
- learning tasks
- statistical methods
- knowledge acquisition
- text classification
- natural language processing
- learning algorithm
- artificial intelligence
- pattern recognition
- computational intelligence
- machine learning approaches
- learning models
- reinforcement learning
- computer science
- knowledge discovery
- semi supervised learning
- model selection
- support vector machine
- information extraction
- knowledge representation
- kernel methods
- data analysis
- fault tolerant
- fault tolerance
- learning systems
- machine learning algorithms
- computer vision