• Suche: Learning Algorithms

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DCD-MUSIC: Deep-Learning-Aided Cascaded Differentiable MUSIC Algorithm for Near-Field Localization of Multiple Sources
Gast, Arad ; Le Magoarou, Luc ; Shlezinger, Nir ; et al.
ICASSP 2025 - 2025 IEEE International Conference on Acoustics. :1-5

Hyderabad, India Wireless communication Machine learning algorit... Noise Signal processing algori... Pattern classification …
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2

On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(L,L))-GA
Nguyen, Tai ; Le, Phong ; Biedenkapp, André ; et al.
GECCO '25: Genetic and Evolutionary Computation Conference. :1162-1171

Malaga, Spain [INFO]Computer Science [...
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3

Declarative, generic definition and effective implementation of transfer learning algorithms
Diab, Tayeb ; Graiet, Mohamed ; Südholt, Mario ; et al.
AIAI 2025 - 21st International Conference on Artificial Intelligence Applications and Innovations. :1-14

Limassol, Cyprus Machine learning deep learning neural network transfer learning. [INFO]Computer Science [... …
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4

Machine learning algorithms in intermittent demand forecasting: a review.
Giannopoulos, Panagiotis G. ; Dasaklis, Thomas K. ; Tsantilis, Ioannis ; et al.
International Journal of Production Research. Oct2025, p1-43. 43p. 9 Illustrations.

TIME series analysis STANDARDIZATION MACHINE learning DEMAND forecasting FEATURE selection TRANSFER of training …
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5

Machine learning algorithms for optimization of image classification in spatially constrained regions: A case of Eritrea, East Africa
Lemenkova, Polina ; Alma Mater Studiorum Università di Bologna = University of Bologna (UNIBO)
Engineering Today. 4(2):1-15

Remote sensing GRASS GIS Africa Image analysis Machine learning Earth sciences …
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6

Learning Learning Algorithms
Esho, Samuel Oluwadara ; Alexandre, Luís Filipe Barbosa de Almeida ; uBibliorum
urn:tid:202559149

Maml Maml-Dbl Metalearning
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7

A Minimax Approach for Robustifying Statistical Learning Algorithms
Une approche minimax pour la robustificationdes algorithmes d’apprentissage statistique
Zou, Xinying ; Perlaza, Samir, M. ; Esnaola, Iñaki ; et al.

Statistical Learning Minimax Gibbs Algorithm [STAT.ML]Statistics [sta... Machine Learning [stat.M... [MATH.MATH-IT]Mathematic... …
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8

Predicting the length-of-stay of pediatric patients using machine learning algorithms.
Boff Medeiros, Natália ; Fogliatto, Flávio Sanson ; Karla Rocha, Miriam ; et al.
International Journal of Production Research. Jan2025, Vol. 63 Issue 2, p483-496. 14p.

RANDOM forest algorithms MACHINE learning LENGTH of stay in hospit... CHILDREN'S injuries FOREST productivity CHILD patients
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9

Evaluating Advances in Machine Learning Algorithms for Predicting and Preventing Maternal and Foetal Mortality in Nigerian Healthcare: A Systematic Approach
Nwamekwe, Charles, Onyeka ; Vitalis, Ewuzie, Nnamdi ; Igbokwe, Nkemakonam Chidiebube ; et al.
International journal of industrial and production engineering. 3(1):1-15

Machine Learning Predict... Machine Learning Prediction Algorithms Maternal Mortality Foetal Mortality Meta-Analysis …
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10

Machine Learning Algorithms Comparison for Hand sEMG-recorded Movements Classification
Lopes, Tiago ; Wilheim, Adam ; Berger, Adriana ; et al.
ACIIDS 2025, Apr 2025, Kitakyushu, Japan

Kitakyushu, Japan Hand Gesture Classificat... Hand Gesture Classificat... Surface Electromyography... Machine Learning Algorit... Wearable Technology …
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11

Machine learning algorithms for supporting life cycle assessment studies: An analytical review
Neupane, Bishwash ; Belkadi, Farouk ; Formentini, Marco ; et al.
Sustainable Production and Consumption. 56:37-53

Life cycle assessment Machine learning Prediction Analytical study Multi criteria decision... [SDE]Environmental Scien...
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12

Study and parameterization of a crushing line using Machine Learning algorithms
PEREIRA, ANA LÚCIA DIAS ; Ferreira, Carlos Manuel Abreu Gomes ; REPOSITÓRIO P.PORTO
urn:tid:204032687

Machine Learning SCADA cortiça otimização da produção... SHAP Industry 4.0 …
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13

Comparative analysis of three advanced deep learning algorithms for Multiple Sclerosis lesion segmentation in FLAIR MRI
Zhu, Yi ; Grenier, Thomas ; Revol-Muller, Chantal ; et al.
IEEE ICSP’24 & 5th Sino-French Workshop 2024 “Medical Image Analysis and AI (MAI)”. :697-702

Suzhou, China, France Deep Learning MS lesion segmentation [SPI.SIGNAL]Engineering... Signal and Image process... [INFO.INFO-AI]Computer S... …
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14

Leveraging ensemble machine learning models (XGBoost and random forest) and genetic algorithms to predict factors contributing to the liposomal entrapment of therapeutics.
Khodadadi F ; Taghizadeh F ; Hashemi Baghi A ; et al.
Publisher: RSC Pub Country of Publication: England NLM ID: 101525249 Publication Model: Electronic Cited Medium: Internet ISSN: 2040-3372 (Electronic) Linking ISSN: 20403364 NLM ISO Abbreviation: Nanoscale Subsets: MEDLINE

Drug Delivery Systems Solubility Cholesterol chemistry Genetic Algorithms Random Forest Boosting Machine Learnin... …
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15

Distributed Reinforcement Learning Algorithms for the Multicommodity Flow problem in a Urban Road Network
Haddam, Nassim ; Barth, Dominique ; Données et algorithmes pour une ville intelligente et durable - DAVID (DAVID) ; et al.

Reinforcement Learning Flow problems Optimization Urban Mobility [INFO]Computer Science [...
E-Ressource
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16

A personalized federated learning-based glucose prediction algorithm for high-risk glycemic excursion regions in type 1 diabetes.
Darpit D ; Vyas K ; Jayagopal JK ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Humans Hypoglycemia blood Hypoglycemia diagnosis Female Hyperglycemia diagnosis Hyperglycemia blood …
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17

Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Zou, Xinying ; Perlaza, Samir, M. ; Esnaola, Iñaki ; et al.
AAAI 2024 - Conference on Artificial Intelligence. :17271-17279

Vancouver, Canada Generalization Gap Relative Entropy Gibbs Algorithm Sensitivity Worst-Case …
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18

Optimizing Initial Guesses for Nonlinear System Solvers Using Machine Learning: A Comparative Study of Classification Algorithms
Aabaah, Iven ; Wiredu, Japheth Kodua ; Batowise, Bakaweri, Emmanuel ; et al.
International Journal of Computer Science and Engineering. 11(12):7-15

Machine Learning algorit... Machine Learning algorit... Nonlinear system solvers Data pre-processing Model Evaluation Predictive modeling …
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19

Meta-Learning from Learning Curves for Budget-Limited Algorithm Selection
Nguyen, Manh Hung ; Sun-Hosoya, Lisheng ; Guyon, Isabelle ; et al.
Pattern Recognition Letters. 185:225-231

algorithm selection meta-learning learning curves reinforcement learning REVEAL games challenge …
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20

XGBoost machine learning algorithm for predicting unplanned readmission in elderly patients with coronary heart disease.
Song X ; Shi J ; Zhu C ; et al.
Publisher: Mosby-Yearbook Country of Publication: United States NLM ID: 8309633 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1528-3984 (Electronic) Linking ISSN: 01974572 NLM ISO Abbreviation: Geriatr Nurs Subsets: MEDLINE

Humans Male Aged Female Retrospective Studies Aged, 80 and over …
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