„Machine Learning Models“

Suchergebnisse

3.650 Treffer

• Improved prediction of anti-angiogenic peptides based on machine learning models and comprehensive features from peptide sequences
  Lee, Yun-Chen ; Yu, Jen-Chieh ; Ni, Kuan ; Lin, Yu-Chuan ; Chen, Ching-Tai
• Analysis of the hyperparameter optimisation of four machine learning satellite imagery classification methods
  Alonso-Sarría, Francisco ; Valdivieso-Ros, Carmen ; Gomariz-Castillo, Francisco
• Development and evaluation of machine learning models for predicting large-for-gestational-age newborns in women exposed to radiation prior to pregnancy
  Bai, Xi ; Zhou, Zhibo ; Zheng, Zeyan ; Li, Yansheng ; Liu, Kejia ; Zheng, Yuanjun ; Yang, Hongbo ; Zhu, Huijuan ; Chen, Shi ; Pan, Hui
• Generation and classification of patch-based land use and land cover dataset in diverse Indian landscapes: a comparative study of machine learning and deep learning models
  Rengma, Nyenshu Seb ; Yadav, Manohar
• Construction of prediction models for novel subtypes in patients with arteriosclerosis obliterans undergoing endovascular therapy: an unsupervised machine learning study
  Li, Xiaocheng ; Zhang, Lin ; Li, Que ; Zhang, Jiangfeng ; Qin, Xiao
• Development of machine learning models for patients in the high intrahepatic cholangiocarcinoma incidence age group
  Shen, Jie ; Yang, Dashuai ; Zhou, Yu ; Pei, Junpeng ; Wu, Zhongkai ; Wang, Xin ; Zhao, Kailiang ; Ding, Youming
• Machine Learning Algorithms Versus Classical Regression Models in Pre-Eclampsia Prediction: A Systematic Review
  Tiruneh, Sofonyas Abebaw ; Vu, Tra Thuan Thanh ; Rolnik, Daniel Lorber ; Teede, Helena J. ; Enticott, Joanne
• Comparing human text classification performance and explainability with large language and machine learning models using eye-tracking
  Divya Venkatesh, Jeevithashree ; Jaiswal, Aparajita ; Nanda, Gaurav
• Computed tomography-based radiomics machine learning models for differentiating enchondroma and atypical cartilaginous tumor in long bones
  Hong, Rui ; Li, Qian ; Ma, Jielin ; Lu, Chunmiao ; Zhong, Zhiwei
• Robust Machine Learning – Distributed Methods for Safe AI
  Guerraoui, Rachid ; Gupta, Nirupam ; Pinot, Rafael 2024 Springer Nature Singapore, Imprint: Springer
• Inconsistent Monthly Runoff Prediction Models Using Mutation Tests and Machine Learning
  Ren, Miaomiao ; Sun, Wei ; Chen, Shu ; Zeng, Decheng ; Xie, Yutong
• Simultaneous sensitivity analysis of mixed-integer location-allocation models using machine learning tools: cancer hospitals’ network design
  Kordi, Afshin ; Nemati, Arash
• Ensemble machine learning models for forecasting tropical cyclones in North Indian region
  Yeasin, Md ; Paul, Ranjit Kumar ; Shankar, S. Vishnu
• Highly sensitive 2D X-ray absorption spectroscopy via physics informed machine learning
  Li, Zeyuan ; Flynn, Thomas ; Liu, Tongchao ; Liu, Sizhan ; Lee, Wah-Keat ; Tang, Ming ; Ge, Mingyuan
• Optimizing and extending ion dielectric polarizability database for microwave frequencies using machine learning methods
  Qin, Jincheng ; Liu, Zhifu ; Ma, Mingsheng ; Li, Yongxiang
• Data-driven Modelling and Scientific Machine Learning in Continuum Physics
  Garikipati, Krishna 2024 Springer International Publishing, Imprint: Springer
• Erfolgreich mit LLMs – Praktische Ansätze zur Gestaltung eigener KI-Lösungen
  Degen, Jakob J. 2024 tredition
• Large Language Models: A Deep Dive – Bridging Theory and Practice
  Kamath, Uday ; Keenan, Kevin ; Somers, Garrett ; Sorenson, Sarah 2024 Springer Nature Switzerland, Imprint: Springer
• Analysis Of The Relevance Of Models, Influencing Factors And The Point In Time Of The Forecast On The Prediction Quality In Order-Related Delivery Time Determination Using Machine Learning
  Rokoss, Alexander 2024 Gottfried Wilhelm Leibniz Universität Hannover
• Deep Reinforcement Learning with Python – RLHF for Chatbots and Large Language Models
  Sanghi, Nimish 2024 Apress, Imprint: Apress