Applications and Techniques for Fast Machine Learning in Science.
Allison McCarn DeianaNhan TranJoshua AgarMichaela BlottGiuseppe Di GuglielmoJavier M. DuartePhilip C. HarrisScott HauckMia LiuMark S. NeubauerJennifer NgadiubaSeda Ogrenci MemikMaurizio PieriniThea AarrestadSteffen BährJürgen BeckerAnne-Sophie BertholdRichard J. BonventreTomás E. Müller-BravoMarkus DiefenthalerZhen DongNick FritzscheAmir GholamiEkaterina GovorkovaDongning GuoKyle J. HazelwoodChristian HerwigBabar KhanSehoon KimThomas KlijnsmaYaling LiuKin Ho LoTri NguyenGianantonio PezzulloSeyedramin RasoulinezhadRyan A. RiveraKate ScholbergJustin SeligSougata SenDmitri StrukovWilliam TangSavannah ThaisKai Lukas UngerRicardo VilaltaBelinavon KrosigkShen WangThomas K. WarburtonPublished in: Frontiers Big Data (2022)
Keyphrases
- machine learning
- computer science
- artificial intelligence
- data mining
- pattern recognition
- machine learning methods
- inductive learning
- science education
- text mining
- information extraction
- learning tasks
- learning problems
- reinforcement learning
- data analysis
- knowledge discovery
- learning algorithm
- machine intelligence
- machine learning algorithms
- knowledge acquisition
- inductive logic programming
- statistical methods
- real time
- text classification
- database
- computational intelligence
- supervised learning
- artificial neural networks
- case study
- computer vision
- search engine
- computational biology
- machine learning approaches
- explanation based learning
- data sets
- science learning
- longitudinal study
- computational science