Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.
Gabrielle AllenIgor AndreoniEtienne BacheletG. Bruce BerrimanFederica B. BiancoRahul BiswasMatias Carrasco KindKyle ChardMinsik ChoPhilip S. CowperthwaiteZachariah B. EtienneDaniel GeorgeTom GibbsMatthew J. GrahamWilliam GroppAnushri GuptaRoland HaasE. A. HuertaElise JenningsDaniel S. KatzAsad KhanVolodymyr V. KindratenkoWilliam T. C. KramerXin LiuAshish MahabalKenton McHenryJ. M. MillerMark NeubauerSteve OberlinAlexander ReinefeldShawn RosofskyMilton RuizAaron SaxtonBernard F. SchutzAlexander G. SchwingEd SeidelStuart L. ShapiroHongyu ShenYue ShenBrigitta Miksztai-RétheyLunan SunJohn TownsAntonios TsokarosWei WeiJack WellsTimothy J. WilliamsJinjun XiongZhizhen ZhaoPublished in: CoRR (2019)
Keyphrases
- big data
- deep learning
- knowledge discovery
- data analysis
- cloud computing
- unsupervised learning
- data management
- big data analytics
- unsupervised feature learning
- social media
- machine learning
- data processing
- business intelligence
- data intensive
- weakly supervised
- data mining
- mental models
- vast amounts of data
- databases
- association rules
- data warehousing
- social networks
- data science
- metadata
- pairwise
- dimensionality reduction