„supervised learning“

Suchergebnisse

2.377 Treffer

• A supervised machine-learning approach for the efficient development of a multi method (LC-MS) for a large number of drugs and subsets thereof: focus on oral antitumor agents
  Kehl, Niklas ; Gessner, Arne ; Maas, Renke ; Fromm, Martin F. ; Taudte, R. Verena
• Quality Activation Maps: Inline Efficiency Mapping of Solar Cells using Weakly‐Supervised Regression
  Kunze, Philipp ; Kwapil, Wolfram ; Rein, Stefan ; Demant, Matthias
• Maschinelles Lernen für die Ingenieurwissenschaften – Einführung in physikalisch informierte, erklärbare Lernverfahren für KI in technischen Anwendungen
  Neuer, Marcus J. 2024 Springer Berlin Heidelberg, Imprint: Springer Vieweg
• Machine Learning for Engineers – Using data to solve problems for physical systems
  Neuer, Marcus 2021 Springer International Publishing
• Statistik und maschinelles Lernen – Eine mathematische Einführung in klassische und moderne Methoden
  Trabs, Mathias ; Jirak, Johannes Moritz 2021 Springer Berlin Heidelberg
• Statistisches und maschinelles Lernen – Gängige Verfahren im Überblick
  Richter, Stefan 2019 Springer Berlin Heidelberg
• Towards representation learning of radar altimeter waveforms for sea ice surface classification
  Happ, Lena ; Patil, Sonali ; Hendricks, Stefan ; Fellegara, Riccardo ; Kaleschke, Lars ; Gerndt, Andreas
• Learning class-agnostic masks with cross-task refinement for weakly supervised semantic segmentation
  Xu, Lian ; Bennamoun, Mohammed ; Boussaid, Farid ; Ouyang, Wanli ; Xu, Dan
• Personalized prediction of mode of cardiac death in heart failure using supervised machine learning in the context of cardiac innervation imaging
  Wolf, Herta ; Derlin, Thorsten ; Bengel, Frank M.
• Supervised Machine Learning Evaluation for Patient-Specific and Non-Patient-Specific Epileptic Seizure Detection with Multichannel Scalp EEG
  C. P., Vijay ; G., Mahendra ; K. N., Bharath ; K. P., Suhaas ; Kumara, Bharath ; R. H., Divyashree ; K. V., Sudheesh
• Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning
  Pries, Philip J. ; Mutch, W. Alan C. ; Funk, Duane J.
• Abnormal behaviors recognition in crowd environments based on semi-supervised deep learning and hierarchical approach
  Asl, Vahid Fazel ; Karasfi, Babak ; Masoumi, Behrooz ; Keyvanpour, Mohammad Reza
• Predicting Stress–Strain Characteristics of Hot Deformed Cu-Zr Metallic Glass Alloy Composite Nanowires Using Supervised Machine Learning Algorithms
  Katakareddi, Ganesh ; Ali, Md. Shafdar ; Jungalwala, Kerfegarshahvir ; Yedla, Natraj
• Similarity Learning-Based Supervised Discrete Hash Signature Scheme for authentication of smart home scenario
  Sudha, K. Swapna ; Jeyanthi, N.
• Data-driven detection of counterpressing in professional football – A supervised machine learning task based on synchronized positional and event data with expert-based feature extraction
  Bauer, Pascal ; Anzer, Gabriel
• Supervised Machine Learning Methods to Disclose Action and Information in “U.N. 2030 Agenda” Social Media Data
  Sciandra, Andrea ; Surian, Alessio ; Finos, Livio
• Supervised machine learning aided behavior classification in pigeons
  Wittek, Neslihan ; Wittek, Kevin ; Keibel, Christopher ; Güntürkün, Onur 2022 Ruhr-Universität Bochum
• Predicting Question Difficulty in Web Surveys: A Machine Learning Approach Based on Mouse Movement Features
  Fernández-Fontelo, Amanda ; Kieslich, Pascal J. ; Henninger, Felix ; Kreuter, Frauke ; Greven, Sonja 2023 Humboldt-Universität zu Berlin
• A Synthesized Study Based on Machine Learning Approaches for Rapid Classifying Earthquake Damage Grades to RC Buildings
  Harirchian, Ehsan ; Kumari, Vandana ; Jadhav, Kirti ; Rasulzade, Shahla ; Lahmer, Tom ; Raj Das, Rohan 2021 Bauhaus-Universität Weimar
• Data science training - supervised learning – ein praktischer Einstieg ins überwachte maschinelle Lernen
  Selle, Stefan 2024 Springer Vieweg