„Learning algorithms“

Suchergebnisse

4.428 Treffer

• Anomaly Detection in Logs: A Comparative Analysis of Unsupervised Algorithms
  de Moura, Alysson C. E. ; Filho, Geraldo P. Rocha ; Caetano, Marcos F. ; Gondim, João J. C. ; Araujo, Aleteia ; Marotta, Marcelo A. ; Bondan, Lucas 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Improving Power System Resilience with Enhanced Monitoring, Control, and Protection Algorithms
  Veerakumar, Nidarshan ; Boričić, Aleksandar ; Tyuryukanov, Ilya ; Tealane, Marko ; Naglič, Matija ; Van Riet, Maarten ; Klaar, Danny ; Jongepier, Arjen ; Bos, Jorrit ; Golshani, Mohammad ; Rietveld, Gert ; van der Meijden, Mart ; Popov, Marjan 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Learning-Augmented Maximum Independent Set
  Braverman, Vladimir ; Dharangutte, Prathamesh ; Shah, Vihan ; Wang, Chen 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Online k-Median with Consistent Clusters
  Moseley, Benjamin ; Newman, Heather ; Pruhs, Kirk 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Online Time-Windows TSP with Predictions
  Chawla, Shuchi ; Christou, Dimitris 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Online Bin Covering with Frequency Predictions
  Berg, Magnus ; Kamali, Shahin 2024 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study
  Victor, Audêncio ; Almeida, Francielly ; Xavier, Sancho Pedro ; Rondó, Patrícia H.C
• Stochastic Games (Dagstuhl Seminar 24231)
  Fijalkow, Nathanaël ; Kretinsky, Jan ; Nowé, Ann ; Bathie, Gabriel
• Scalable Graph Mining and Learning (Dagstuhl Seminar 23491)
  Koutra, Danai ; Meyerhenke, Henning ; Safro, Ilya ; Brandt-Tumescheit, Fabian
• Multiobjective Optimization on a Budget (Dagstuhl Seminar 23361)
  Allmendinger, Richard ; Fonseca, Carlos M. ; Sayin, Serpil ; Wiecek, Margaret M. ; Stiglmayr, Michael
• Use of machine learning algorithms in the context of sugarcane in Brazil: a review
  Cardoso, Luiz Antonio Soares ; Mesquita, Brehme D’napoli Reis de ; Farias, Paulo Roberto Silva
• Utilizing machine learning algorithms for predicting Anxiety-Depression Comorbidity Syndrome in Gastroenterology Inpatients (ADCS-GI)
  Tan, Min ; Zhao, Jinjin ; Tao, Yushun ; Sehar, Uroosa ; Yan, Yan ; Zou, Qian ; Liu, Qing ; Xu, Long ; Xia, Zeyang ; Feng, Lijuan ; Xiong, Jing
• Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons
  Alabduallah, Bayan ; Al Dayil, Reham ; Alkharashi, Abdulwhab ; Alneil, Amani A.
• Comparative analysis of different machine learning algorithms for urban footprint extraction in diverse urban contexts using high-resolution remote sensing imagery
  Gui, Baoling ; Bhardwaj, Anshuman ; Sam, Lydia
• Predicting diabetic retinopathy based on routine laboratory tests by machine learning algorithms
  Wan, Xiaohua ; Zhang, Ruihuan ; Wang, Yanan ; Wei, Wei ; Song, Biao ; Zhang, Lin ; Hu, Yanwei
• Seasonal forecasting of the hourly electricity demand applying machine and deep learning algorithms impact analysis of different factors
  El-Azab, Heba-Allah Ibrahim ; Swief, R. A. ; El-Amary, Noha H. ; Temraz, H. K.
• Application of Machine Learning Algorithms to Classify Soil Components with Different Hydrophilicity
  Sofinskaya, O. A. ; Mouraviev, F. A. ; Rakonjac, D. ; Mannapova, L. M.
• 97 Machine learning algorithms in the prognosis of cutaneous melanoma: a population-based study
  Jin, Tongtong ; Yao, Donggang ; Xu, Yan ; Zhang, Xiaopeng ; Dong, Xu ; Bai, Haiya
• Applying machine learning algorithms to explore the impact of combined noise and dust on hearing loss in occupationally exposed populations
  Li, Yong ; Sun, Xin ; Qu, Yongtao ; Yang, Shuling ; Zhai, Yueyi ; Qu, Yan
• Transfer learning for accelerated failure time model with microarray data
  Pei, Yan-Bo ; Yu, Zheng-Yang ; Shen, Jun-Shan