„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• ESTIMATING CHLOROPHYLL A CONCENTRATIONS OF SEVERAL INLAND WATERS WITH HYPERSPECTRAL DATA AND MACHINE LEARNING MODELS
  Maier, P. M. ; Keller, S.
• Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques
  Lu, Dan ; Ricciuto, Daniel
• Ensemble models from machine learning: an example of wave runup and coastal dune erosion
  Beuzen, Tomas ; Goldstein, Evan B. ; Splinter, Kristen D.
• Evaluating Different Machine Learning Models for Runoff and Suspended Sediment Simulation
  Kumar, Ashish ; Kumar, Pravendra ; Singh, Vijay Kumar
• Performance evaluation and hyperparameter tuning of statistical and machine-learning models using spatial data
  Schratz, Patrick ; Muenchow, Jannes ; Richter, Jakob ; Iturritxa, Eugenia ; Brenning, Alexander 2018 Friedrich-Schiller-Universität Jena
• Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques
  Lu, Dan ; Ricciuto, Daniel
• Computational Networks and Competition-Based Models – Solving Complex Causal Interactions
  Ben Romdhane, Lotfi 2010 LAP LAMBERT Academic Publishing
• Predictive Models for Photovoltaic Electricity Production in Hot Weather Conditions
  Yousif, Jabar H. 2018 GRIN Verlag
• Developing an interatomic potential for martensitic phase transformations in zirconium by machine learning
  Zong, Hongxiang ; Pilania, Ghanshyam ; Ding, Xiangdong ; Ackland, Graeme J. ; Lookman, Turab
• Using machine learning and a data-driven approach to identify the small fatigue crack driving force in polycrystalline materials
  Rovinelli, Andrea ; Sangid, Michael D. ; Proudhon, Henry ; Ludwig, Wolfgang
• Machine learning hydrogen adsorption on nanoclusters through structural descriptors
  Jäger, Marc O. J. ; Morooka, Eiaki V. ; Federici Canova, Filippo ; Himanen, Lauri ; Foster, Adam S.
• Machine-learning-based modeling of coarse-scale error, with application to uncertainty quantification
  Trehan, Sumeet ; Durlofsky, Louis J.
• Persistence diagrams with linear machine learning models
  Obayashi, Ippei ; Hiraoka, Yasuaki ; Kimura, Masao
• Machine learning models identify likely ICSRs
• Machine learning of frustrated classical spin models (II): Kernel principal component analysis
  Wang, Ce ; Zhai, Hui
• Risk Assessment Models for Cloud Computing
  Ahmed, Nada ; Abraham, Ajith 2018 LAP LAMBERT Academic Publishing
• Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study
  Sahni, Nishant ; Simon, Gyorgy ; Arora, Rashi
• Prediction of landslide displacement with an ensemble-based extreme learning machine and copula models
  Li, Huajin ; Xu, Qiang ; He, Yusen ; Deng, Jiahao
• Painless pain assessments with machine learning
  Neff, Ellen P.
• Machine learning for graph-based representations of three-dimensional discrete fracture networks
  Valera, Manuel ; Guo, Zhengyang ; Kelly, Priscilla ; Matz, Sean ; Cantu, Vito Adrian ; Percus, Allon G. ; Hyman, Jeffrey D. ; Srinivasan, Gowri ; Viswanathan, Hari S.