Výsledky vyhledávání - "Multiple kernel learning"

Machine learning to support exploring and exploiting real-world clinical longitudinal data

Autoři: Nogueira, Mariana

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Bijnens, Bart, Piella Fenoy, Gemma, Craene, Mathieu de

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Stress echocardiography, Labour monitoring and decision support, Real-world clinical data, Longitudinal data, Nonstandardized data, Unsupervised learning, Multiview dimensionality reduction, Multiple kernel learning, Ecocardiografia de esfuerzo, Monitoreo y soporte a la decision en trabajo de parto, Datos clinicos reales, Datos longitudinales, Datos no estandarizados, Aprendizaje no supervisado, Reduccion de dimensionalidad multivista, Aprendizaje de multiples nucleos

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/669968

Multi-feature machine learning analysis for an improved characterization of the cardiac mechanics

Autoři: Sánchez Martínez, Sergio

Přispěvatelé: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Duchateau, Nicolas, Piella Fenoy, Gemma, Bijnens, Bart

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Machine learning, Medical image analysis, Pattern recognition, Multiple kernel learning, Dimensionality reduction, Echocardiography, Early diagnosis, Heart failure, Cardiac resynchronization therapy, Aprendizaje automático, Análisis de imágenes médicas, Reconocimiento de patrones, Aprendizaje de kernel múltiple, Ecocardiografía, Diagnóstico temprano, Insuficiencia cardíaca, Tratamiento de re-sincronización cardíaca

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/663748

A hybrid method for fusion cardiac biomarkers and echocardiography videos in the experimental classification of Trypanosoma cruzi infection

Autoři: Blanca Vazquez Jorge Perez-Gonzalez Nidiyare Hevia-Montiel

Zdroj: BioMedical Engineering OnLine, Vol 24, Iss 1, Pp 1-29 (2025)

Témata: Multiple kernel learning, Machine learning, Deep learning, Multimodal data, Ensemble feature selection, Classification, Medical technology, R855-855.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1475-925X

Přístupová URL adresa: https://doaj.org/article/188cb7bd9a7f42a99ea53550d6c85527

Topological Data Analysis and Multiple Kernel Learning for Species Identification of Modern and Archaeological Small Ruminants

Autoři: Vuillien, Manon Adamo, Davide Vila, Emmanuelle a další

Přispěvatelé: Vuillien, Manon Adamo, Davide Vila, Emmanuelle a další

Zdroj: Journal of Computer Applications in Archaeology, Vol 8, Iss 1, Pp 170–187-170–187 (2025)

Témata: [SHS.ARCHEO] Humanities and Social Sciences/Archaeology and Prehistory, osteology, Topological data analysis, Zooarchaeology, [MATH] Mathematics [math], QA75.5-76.95, herbivores, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Multiple kernel learning, topological data analysis, machine learning, Archaeology, zooarchaeology, Electronic computers. Computer science, Machine learning, multiple kernel learning, CC1-960, Herbivores

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/503cf99dec4d4445876aecff54ce6069

Leveraging real-time data analysis and multiple kernel learning for manufacturing of innovative steels

Autoři: Wolfgang Rannetbauer Simon Hubmer Carina Hambrock a další

Zdroj: Journal of Mathematics in Industry, Vol 15, Iss 1, Pp 1-22 (2025)

Témata: Artificial intelligence (AI), Machine learning (ML), Predictive quality, Real-time analytics, Simple and efficient multiple kernel learning (SEMKL), Steel industry, Mathematics, QA1-939, Industry, HD2321-4730.9

Popis souboru: electronic resource

Relation: https://doaj.org/toc/2190-5983

Přístupová URL adresa: https://doaj.org/article/302430e8b3614855a2ed4c5645ca7239

Adaptive Weighted Multi-kernel Learning for Blast-Induced Flyrock Distance Prediction

Autoři: Zhang, Ruixuan Li, Yuefeng Gui, Yilin a další

Zdroj: Rock Mechanics and Rock Engineering. 58:679-695

Témata: Adaptive weighting, Modified local outlier factor, Flyrock, Multiple kernel learning, Rock blasting

Development and validation of a machine learning model based on multiple kernel for predicting the recurrence risk of Budd-Chiari syndrome

Autoři: Weirong Xue Bing Xu Hui Wang a další

Zdroj: Front Physiol
Frontiers in Physiology, Vol 16 (2025)

Témata: Budd-Chiari syndrome, recurrence, machine learning, predict, Physiology, QP1-981, multiple kernel learning

Přístupová URL adresa: https://doaj.org/article/38877c517d5244eb970fddba80ddee99

Interpretable and Integrative Analysis of Single-Cell Multiomics with scMKL

Autoři: Kupp, Samuel VanGordon, Ian Ak, Çiğdem

Témata: Machine Learning/classification, single cell multiomics, interpretability, multiple kernel learning, scalability

Learning GAI-Decomposable Utility Models for Multiattribute Decision Making

Autoři: Herin, Margot Perny, Patrice Sokolovska, Nataliya a další

Přispěvatelé: Herin, Margot Perny, Patrice Sokolovska, Nataliya a další

Zdroj: Proceedings of the AAAI Conference on Artificial Intelligence. 38:20412-20419

Témata: Preference Learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], Multiple Kernel Learning, [INFO] Computer Science [cs], Multiattribute Decision Making

Popis souboru: application/pdf

Survival parametric modeling for patients with heart failure based on Kernel learning

Autoři: Maryam Montaseri Mansour Rezaei Armin Khayati a další

Zdroj: BMC Medical Research Methodology, Vol 25, Iss 1, Pp 1-13 (2025)

Témata: Survival Analysis, Frailty Model, Accelerated Failure Time Model, Heart Failure, Multiple Kernel Learning, Medicine (General), R5-920

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2288

Přístupová URL adresa: https://doaj.org/article/086c36c4d0e246a0b7aec827e84e1656

A stacked multiple kernel support vector machine for blast induced flyrock prediction

Autoři: Ruixuan Zhang Yuefeng Li Yilin Gui a další

Zdroj: Geohazard Mechanics. 2:37-48

Témata: Stacked model, Support vector machine, Flyrock prediction, Multiple kernel learning

Multikernel Graph Structure Learning for Multispectral Point Cloud Classification

Autoři: Qingwang Wang Zifeng Zhang Jiangbo Huang a další

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5637-5650 (2024)

Témata: multispectral LiDAR data, prior constraint, QC801-809, Geophysics. Cosmic physics, 0211 other engineering and technologies, point cloud classification, 04 agricultural and veterinary sciences, 02 engineering and technology, 15. Life on land, Ocean engineering, Graph structure learning, 0401 agriculture, forestry, and fisheries, multiple kernel learning, TC1501-1800

Přístupová URL adresa: https://doaj.org/article/6312ab6111ff4968ae4f9861eac9cdac

A Novel Multi-modal Sentiment Analysis Based on Multiple Kernel Learning with Margin-Dimension Constraint

Autoři: Jun Liu Zhihao Wang Guangrong Wan a další

Zdroj: International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-13 (2024)

Témata: Multi-modal fusion, Sentiment analysis, 3D convolutional neural network, Multiple kernel learning, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1875-6883

Přístupová URL adresa: https://doaj.org/article/53bdd7bc265b4e0388e945ebc18d13b4

Fast evaluation of additive kernels: feature arrangement, Fourier methods, and kernel derivatives. ETNA - Electronic Transactions on Numerical Analysis

Autoři: Nestler, Franziska Stoll, Martin Wagner, Theresa

Zdroj: http://hw.oeaw.ac.at/etna.

Témata: additive kernels, feature grouping, Fourier analysis, kernel derivatives, multiple kernel learning,Mathematics, Physics and Space Research

Popis souboru: application/pdf

Dostupnost: http://epub.oeaw.ac.at/?arp=buecher/Organisationseinheiten/_id105092_/ETNA/etna_Vol_63/pp496-539.pdf
https://doi.org/10.1553/etna_vol63s496

Learning additive decompositions of multiattribute utility functions

Autoři: Herin, Margot Perny, Patrice Sokolovska, Nataliya a další

Přispěvatelé: Herin, Margot Perny, Patrice Sokolovska, Nataliya a další

Zdroj: ISSN: 0040-5833.

Témata: Multiple Kernel Learning, GAI Decompositions, Utility Theory, Multiattribute Decision Making, Preference Learning, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]

Dostupnost: https://hal.science/hal-05330579
https://hal.science/hal-05330579v1/document
https://hal.science/hal-05330579v1/file/Theory_and_Decision_25_HAL.pdf
https://doi.org/10.1007/s11238-025-10068-6

Application of Non-Sparse Manifold Regularized Multiple Kernel Classifier

Autoři: Tao Yang

Zdroj: Mathematics ; Volume 13 ; Issue 7 ; Pages: 1050

Témata: multiple kernel learning, classification, manifold

Popis souboru: application/pdf

Relation: E1: Mathematics and Computer Science; https://dx.doi.org/10.3390/math13071050

Dostupnost: https://doi.org/10.3390/math13071050

Power Load Forecasting System of Iron and Steel Enterprises Based on Deep Kernel–Multiple Kernel Joint Learning

Autoři: Yan Zhang Junsheng Wang Jie Sun a další

Zdroj: Processes ; Volume 13 ; Issue 2 ; Pages: 584

Témata: multiple kernel learning, deep learning, data driven, power load forecasting

Geografické téma: agris

Popis souboru: application/pdf

Relation: Process Control and Monitoring; https://dx.doi.org/10.3390/pr13020584

Dostupnost: https://doi.org/10.3390/pr13020584

Rethinking multiple kernel learning under the lenses of Importance Weighted Monte Carlo Variational Inference

Autoři: Adamo, Davide Vuillien, Manon Vila, Emmanuelle a další

Přispěvatelé: Adamo, Davide Vuillien, Manon Vila, Emmanuelle a další

Zdroj: https://hal.science/hal-05123496 ; 2025.

Témata: Multiple kernel learning, Monte Carlo variational inference, kernel(s) selection, importance-weighted lower bound, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST]

Dostupnost: https://hal.science/hal-05123496
https://hal.science/hal-05123496v1/document
https://hal.science/hal-05123496v1/file/RethinkingMKL.pdf

A deep multiple kernel learning-based higher-order fuzzy inference system for identifying DNA N4-methylcytosine sites

Autoři: Wang, Leyao Ding, Yijie Tiwari, Prayag a další

Zdroj: Information Sciences. 630:40-52

Témata: DNA N4-methylcytosine, Bioinformatics, Fuzzy inference system, Deep learning, Multiple kernel learning

Popis souboru: print

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-50085

Identification of DNA-binding protein based multiple kernel model

Autoři: Yuqing Qian Tingting Shang Fei Guo a další

Zdroj: Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 13149-13170 (2023)

Témata: DNA-Binding Proteins, Support Vector Machine, dna-binding proteins, QA1-939, local kernel alignment, multiple kernel learning, TP248.13-248.65, Mathematics, Algorithms, restricted kernel machine, Biotechnology

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/37501482
https://doaj.org/article/dbc1cea8e5e5400784f34091b2a81b2f