„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Machine learning-based prediction models for accidental hypothermia patients
  Okada, Yohei ; Matsuyama, Tasuku ; Morita, Sachiko ; Ehara, Naoki ; Miyamae, Nobuhiro ; Jo, Takaaki ; Sumida, Yasuyuki ; Okada, Nobunaga ; Watanabe, Makoto ; Nozawa, Masahiro ; Tsuruoka, Ayumu ; Fujimoto, Yoshihiro ; Okumura, Yoshiki ; Kitamura, Tetsuhisa ; Iiduka, Ryoji ; Ohtsuru, Shigeru
• Problems with products? : Control strategies for models with interaction and quadratic effects
  Beiser-McGrath, Janina ; Beiser-McGrath, Liam F. 2020 KOPS Universität Konstanz
• Practical Machine Learning with AWS – Process, Build, Deploy, and Productionize Your Models Using AWS
  2021 Apress
• Machine Learning for Economics and Finance in TensorFlow 2 – Deep Learning Models for Research and Industry
  2021 Apress
• Hyperparameter Optimization in Machine Learning – Make Your Machine Learning and Deep Learning Models More Efficient
  2021 Apress
• Machine learning models for the secondary Bjerknes force between two insonated bubbles
  Chen, Haiyan ; Zeng, Yue ; Li, Yi
• Estimating the time-dependent contact rate of SIR and SEIR models in mathematical epidemiology using physics-informed neural networks
  Grimm, Viktor ; Heinlein, Alexander ; Klawonn, Axel ; Lanser, Martin ; Weber, Janine 2020 Universitäts- und Stadtbibliothek Köln
• Unsupervised Machine Learning for Lithological Mapping Using Geochemical Data in Covered Areas of Jining, China
  Wu, Guopeng ; Chen, Guoxiong ; Cheng, Qiuming ; Zhang, Zhenjie ; Yang, Jie
• Development and external evaluation of predictions models for mortality of COVID-19 patients using machine learning method
  Li, Simin ; Lin, Yulan ; Zhu, Tong ; Fan, Mengjie ; Xu, Shicheng ; Qiu, Weihao ; Chen, Can ; Li, Linfeng ; Wang, Yao ; Yan, Jun ; Wong, Justin ; Naing, Lin ; Xu, Shabei
• Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB
  Norallahi, Mahya ; Seyed Kaboli, Hesam
• Machine Learning in Marketing – Customer data growth, new methods, and myriad of applications
  Ramos-Henriquez, José M. 2021 LAP LAMBERT Academic Publishing
• Estimation and visualization of process states using latent variable models based on Gaussian process
  Kaneko, Hiromasa
• Deploy Machine Learning Models to Production – With Flask, Streamlit, Docker, and Kubernetes on Google Cloud Platform
  2021 Apress
• Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods
  Montes de Oca Zapiain, David ; Stewart, James A. ; Dingreville, Rémi
• Comparative evaluation of machine learning models for groundwater quality assessment
  Bedi, Shine ; Samal, Ashok ; Ray, Chittaranjan ; Snow, Daniel
• High-throughput phase-field simulations and machine learning of resistive switching in resistive random-access memory
  Zhang, Kena ; Wang, Jianjun ; Huang, Yuhui ; Chen, Long-Qing ; Ganesh, P. ; Cao, Ye
• Improving the accuracy of machine-learning models with data from machine test repetitions
  Bustillo, Andres ; Reis, Roberto ; Machado, Alisson R. ; Pimenov, Danil Yu.
• Drug repurposing for COVID-19 using machine learning and mechanistic models of signal transduction circuits related to SARS-CoV-2 infection
  Loucera, Carlos ; Esteban-Medina, Marina ; Rian, Kinza ; Falco, Matías M. ; Dopazo, Joaquín ; Peña-Chilet, María
• Machine-Learning Models for Combinatorial Catalyst Discovery
  Landrum, Gregory A. ; Penzotti, Julie ; Putta, Santosh
• Predicting the propensity for thermally activated β events in metallic glasses via interpretable machine learning
  Wang, Qi ; Ding, Jun ; Zhang, Longfei ; Podryabinkin, Evgeny ; Shapeev, Alexander ; Ma, Evan