„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Incremental and accurate computation of machine learning models with smart data summarization
  Al-Amin, Sikder Tahsin ; Ordonez, Carlos
• Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
  Serradilla, Oscar ; Zugasti, Ekhi ; Rodriguez, Jon ; Zurutuza, Urko
• A Comparative Analysis of Machine Learning Algorithms for Snowfall Prediction Models in South Korea
  Song, Moon-Soo ; Yun, Hong-Sik ; Lee, Jae-Joon ; Yum, Sang-Guk
• External Validation of Postpartum Hemorrhage Prediction Models Using Electronic Health Record Data
  Meyer, Sean R. ; Carver, Alissa ; Joo, Hyeon ; Venkatesh, Kartik K. ; Jelovsek, J. Eric ; Klumpner, Thomas T. ; Singh, Karandeep
• Comparative Study Based on Analysis of Coronavirus Disease (COVID-19) Detection and Prediction Using Machine Learning Models
  Abirami, R. Sudha ; Kumar, G. Suresh
• Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease
  Sun, Di ; Wang, Yu ; Liu, Qing ; Wang, Tingting ; Li, Pengfei ; Jiang, Tianci ; Dai, Lingling ; Jia, Liuqun ; Zhao, Wenjing ; Cheng, Zhe
• Machine learning models for generating the drilled porosity log for composite formations
  Gamal, Hany ; Elkatatny, Salaheldin ; Mahmoud, Ahmed Abdulhamid
• Performance analysis of machine learning models for intrusion detection system using Gini Impurity-based Weighted Random Forest (GIWRF) feature selection technique
  Disha, Raisa Abedin ; Waheed, Sajjad
• Postoperative delirium prediction using machine learning models and preoperative electronic health record data
  Bishara, Andrew ; Chiu, Catherine ; Whitlock, Elizabeth L. ; Douglas, Vanja C. ; Lee, Sei ; Butte, Atul J. ; Leung, Jacqueline M. ; Donovan, Anne L.
• Evaluating Prediction of Continuous Clinical Values: A Glucose Case Study
  Hripcsak, George ; Albers, David J.
• Evaluation of Residual Strength of Corroded Reinforced Concrete Beams Using Machine Learning Models
  Nguyen, Thanh-Hung ; Nguyen, Dang-Trinh ; Nguyen, Dinh-Hung ; Tran, Duc-Hoc
• Values and inductive risk in machine learning modelling: the case of binary classification models
  Karaca, Koray
• Known operator learning and hybrid machine learning in medical imaging—a review of the past, the present, and the future
  Maier, Andreas ; Köstler, Harald ; Heisig, Marco ; Krauss, Patrick ; Yang, Seung Hee 2022 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
• Machine learning and deep learning predictive models for type 2 diabetes: a systematic review
  Fregoso-Aparicio, Luis ; Noguez, Julieta ; Montesinos, Luis ; García-García, José A.
• Interpretable Machine Learning – A Guide For Making Black Box Models Explainable
  Molnar, Christoph 2022 Christoph Molnar
• Breeding Realistic D‐Brane Models
  Loges, Gregory J. ; Shiu, Gary
• Machine-learning-based prediction models for high-need high-cost patients using nationwide clinical and claims data
  Osawa, Itsuki ; Goto, Tadahiro ; Yamamoto, Yuji ; Tsugawa, Yūsuke
• A machine-learning-guided adaptive algorithm to reduce the computational cost of integrating kinetics in global atmospheric chemistry models: application to GEOS-Chem versions 12.0.0 and 12.9.1
  Shen, Lu ; Jacob, Daniel J. ; Santillana, Mauricio ; Bates, Kelvin ; Zhuang, Jiawei ; Chen, Wei
• Surrogate Models in Rock and Soil Mechanics: Integrating Numerical Modeling and Machine Learning
  Furtney, J. K. ; Thielsen, C. ; Fu, W. ; Goc, R. Le
• Kolmogorov width decay and poor approximators in machine learning: shallow neural networks, random feature models and neural tangent kernels
  E, Weinan ; Wojtowytsch, Stephan