„Machine learning algorithms“

Suchergebnisse

2.828 Treffer

• Testing conditional independence in supervised learning algorithms
  Watson, David S. ; Wright, Marvin N.
• Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
  Zeng, Zhixuan ; Yao, Shuo ; Zheng, Jianfei ; Gong, Xun
• MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms
  Banerjee, Polash
• Machine Learning Algorithms for Predicting Electricity Consumption of Buildings
  Hosseini, Soodeh ; Fard, Reyhane Hafezi
• Groundwater level as an input to monthly predicting of water level using various machine learning algorithms
  Sapitang, Michelle ; Ridwan, Wanie M. ; Ahmed, Ali Najah ; Fai, Chow Ming ; El-Shafie, Ahmed
• The copper grade estimation of porphyry deposits using machine learning algorithms and Henry gas solubility optimization
  Abbaszadeh, Maliheh ; Ehteram, Mohammad ; Ahmed, Ali Najah ; Singh, Vijay P. ; Elshafie, Ahmed
• A Scoping Review of Artificial Intelligence Algorithms in Clinical Decision Support Systems for Internal Medicine Subspecialties
  Narindrarangkura, Ploypun ; Kim, Min Soon ; Boren, Suzanne A.
• Benchmarking machine learning algorithms for adaptive quantum phase estimation with noisy intermediate-scale quantum sensors
  Costa, Nelson Filipe ; Omar, Yasser ; Sultanov, Aidar ; Paraoanu, Gheorghe Sorin
• Moonlighting protein prediction using physico-chemical and evolutional properties via machine learning methods
  Shirafkan, Farshid ; Gharaghani, Sajjad ; Rahimian, Karim ; Sajedi, Reza Hasan ; Zahiri, Javad
• Research on the improvement effect of machine learning and neural network algorithms on the prediction of learning achievement
  Su, Yingying ; Wang, Shengxu ; Li, Yi
• Machine-learning based feature selection for a non-invasive breathing change detection
  Pegoraro, Juliana Alves ; Lavault, Sophie ; Wattiez, Nicolas ; Similowski, Thomas ; Gonzalez-Bermejo, Jésus ; Birmelé, Etienne
• Predicting breast cancer survivability based on machine learning and features selection algorithms: a comparative study
  El_Rahman, Sahar A.
• CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method
  Zhang, Leili ; Domeniconi, Giacomo ; Yang, Chih-Chieh ; Kang, Seung-gu ; Zhou, Ruhong ; Cong, Guojing
• Empirical Analysis of Machine Learning Algorithms on Imbalance Electrocardiogram Based Arrhythmia Dataset for Heart Disease Detection
  Ketu, Shwet ; Mishra, Pramod Kumar
• Optimal distributed parallel algorithms for deep learning framework Tensorflow
  Xie, Yuanlun ; He, Majun ; Ma, Tingsong ; Tian, Wenhong
• Modelling the mechanical behaviour of soils using machine learning algorithms with explicit formulations
  Zhang, Pin ; Yin, Zhen-Yu ; Jin, Yin-Fu ; Liu, Xian-Feng
• Identifying Autism with Head Movement Features by Implementing Machine Learning Algorithms
  Zhao, Zhong ; Zhu, Zhipeng ; Zhang, Xiaobin ; Tang, Haiming ; Xing, Jiayi ; Hu, Xinyao ; Lu, Jianping ; Qu, Xingda
• Machine learning algorithms do not outperform preoperative thresholds in predicting clinically meaningful improvements after total knee arthroplasty
  Zhang, Siyuan ; Lau, Bernard Puang Huh ; Ng, Yau Hong ; Wang, Xinyu ; Chua, Weiliang
• SCOUR: a stepwise machine learning framework for predicting metabolite-dependent regulatory interactions
  Lee, Justin Y. ; Nguyen, Britney ; Orosco, Carlos ; Styczynski, Mark P.
• Classification of ventricular arrhythmias using empirical mode decomposition and machine learning algorithms
  Mohanty, Monalisa ; Dash, Manasa ; Biswal, Pradyut ; Sabut, Sukanta