Works matching DE "STATISTICAL learning"

Results: 2493

Statistical Context Learning in Visual Search: Distinct Electrophysiological Signatures of Contextual Guidance and Context Suppression.

Published in:

Journal of Neuroscience, 2025, v. 45, n. 22, p. 1, doi. 10.1523/JNEUROSCI.2186-24.2025

By:

Siyi Chen;
Nika Merkuš;
Shao-Yang Tsai;
Si Cheng;
Müller, Hermann J.;
Zhuanghua Shi

Publication type:

Article

SCALABLE COMPUTING-DRIVEN INNOVATION IN VOCATIONAL EDUCATION USING MACHINE LEARNING AND BIG DATA.

Published in:

Scalable Computing: Practice & Experience, 2025, v. 26, n. 4, p. 1607, doi. 10.12694/scpe.v26i4.4448

By:

YING CAO;
YALI LIN

Publication type:

Article

Dynamic Dual-Phase Forecasting Model for New Product Demand Using Machine Learning and Statistical Control.

Published in:

Mathematics (2227-7390), 2025, v. 13, n. 10, p. 1613, doi. 10.3390/math13101613

By:

Wang, Chien-Chih

Publication type:

Article

Predicting Indirect Tensile Strength of Rejuvenated Asphalt Mixes Using Machine Learning with High Reclaimed Asphalt Pavement Content.

Published in:

Processes, 2025, v. 13, n. 5, p. 1489, doi. 10.3390/pr13051489

By:

Al Mamun, Abdullah;
Gazder, Uneb;
Islam, Md Kamrul;
Arifuzzaman, Md;
Wahhab, Hamad Al-Abdul;
Rahman, Muhammad Muhitur

Publication type:

Article

Assessment of Body Morphometry to Classify Two Colombian Creole Pigs Using Statistical and Machine Learning Methods.

Published in:

Life (2075-1729), 2025, v. 15, n. 5, p. 693, doi. 10.3390/life15050693

By:

Salamanca-Carreño, Arcesio;
Vélez-Terranova, Mauricio;
Parés-Casanova, Pere M.;
Toalombo-Vargas, Paula A.;
Rangel-Pachón, David E.;
Castillo-Pérez, Andrés F.

Publication type:

Article

Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI.

Published in:

International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2024, v. 48, n. M-5, p. 15, doi. 10.5194/isprs-archives-XLVIII-M-5-2024-15-2025

By:

Arunachalam, Manasha;
Sekar, Siddhaarth;
Erdmann, Annastasia M.;
Sajith Variyar, V. V.;
Sivanpillai, Ramesh

Publication type:

Article

Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation?

Published in:

PLoS ONE, 2025, v. 20, n. 5, p. 1, doi. 10.1371/journal.pone.0324639

By:

Ehsanul Karim, Mohammad;
Lei, Yang

Publication type:

Article

MACHINE LEARNING NA PREVENÇÃO DE PERDAS NO E-COMMERCE: O USO DA REGRESSÃO LOGÍSTICA PARA IDENTIFICAÇÃO DE PEDIDOS FRAUDULENTOS.

Published in:

Revista Fatec Zona Sul (REFAS), 2025, v. 11, n. 4, p. 1, doi. 10.26853/Refas_ISSN-2359-182X_v11n04_04

By:

Matos Paixão, Kevin William;
Romeiro Lombardi, Gabrielle Maria;
de Andrade Barroso, Paulo Ricardo

Publication type:

Article

Convex Geometry and its Applications.

Published in:: Oberwolfach Reports, 2024, v. 21, n. 4, p. 3301, doi. 10.4171/OWR/2024/58
Publication type:: Article

Theoretical guarantees for domain adaptation with hierarchical optimal transport.

Published in:

Machine Learning, 2025, v. 114, n. 5, p. 1, doi. 10.1007/s10994-025-06749-6

By:

El Hamri, Mourad;
Bennani, Younès;
Falih, Issam

Publication type:

Article

Generalization bounds for learning under graph-dependence: a survey.

Published in:

Machine Learning, 2024, v. 113, n. 7, p. 3929, doi. 10.1007/s10994-024-06536-9

By:

Zhang, Rui-Ray;
Amini, Massih-Reza

Publication type:

Article

Utilising energy function and variational inference training for learning a graph neural network architecture.

Published in:

Machine Learning, 2024, v. 113, n. 3, p. 1219, doi. 10.1007/s10994-024-06513-2

By:

Girish, Gayathri;
Mishra, Deepak;
Moosath, Subrahamanian K. S.

Publication type:

Article

Heterogeneous sets in dimensionality reduction and ensemble learning.

Published in:

Machine Learning, 2024, v. 113, n. 4, p. 1683, doi. 10.1007/s10994-022-06254-0

By:

Reeve, Henry W. J.;
Kabán, Ata;
Bootkrajang, Jakramate

Publication type:

Article

Active learning algorithm through the lens of rejection arguments.

Published in:

Machine Learning, 2024, v. 113, n. 2, p. 753, doi. 10.1007/s10994-023-06494-8

By:

Denis, Christophe;
Hebiri, Mohamed;
Ndjia Njike, Boris;
Siebert, Xavier

Publication type:

Article

Word embeddings-based transfer learning for boosted relational dependency networks.

Published in:

Machine Learning, 2024, v. 113, n. 3, p. 1269, doi. 10.1007/s10994-023-06404-y

By:

Luca, Thais;
Paes, Aline;
Zaverucha, Gerson

Publication type:

Article

logicDT: a procedure for identifying response-associated interactions between binary predictors.

Published in:

Machine Learning, 2024, v. 113, n. 2, p. 933, doi. 10.1007/s10994-023-06488-6

By:

Lau, Michael;
Schikowski, Tamara;
Schwender, Holger

Publication type:

Article

Inverse learning in Hilbert scales.

Published in:

Machine Learning, 2023, v. 112, n. 7, p. 2469, doi. 10.1007/s10994-022-06284-8

By:

Rastogi, Abhishake;
Mathé, Peter

Publication type:

Article

PAC-learning with approximate predictors.

Published in:

Machine Learning, 2023, v. 112, n. 5, p. 1693, doi. 10.1007/s10994-023-06301-4

By:

Turner, Andrew J.;
Kabán, Ata

Publication type:

Article

Robust federated learning under statistical heterogeneity via hessian-weighted aggregation.

Published in:

Machine Learning, 2023, v. 112, n. 2, p. 633, doi. 10.1007/s10994-022-06292-8

By:

Ahmad, Adnan;
Luo, Wei;
Robles-Kelly, Antonio

Publication type:

Article

Limits of multi-relational graphs.

Published in:

Machine Learning, 2023, v. 112, n. 1, p. 177, doi. 10.1007/s10994-022-06281-x

By:

Alvarado, Juan;
Wang, Yuyi;
Ramon, Jan

Publication type:

Article

On the robustness of randomized classifiers to adversarial examples.

Published in:

Machine Learning, 2022, v. 111, n. 9, p. 3425, doi. 10.1007/s10994-022-06216-6

By:

Pinot, Rafael;
Meunier, Laurent;
Yger, Florian;
Gouy-Pailler, Cédric;
Chevaleyre, Yann;
Atif, Jamal

Publication type:

Article

A review on instance ranking problems in statistical learning.

Published in:

Machine Learning, 2022, v. 111, n. 2, p. 415, doi. 10.1007/s10994-021-06122-3

By:

Werner, Tino

Publication type:

Article

A comparison of statistical relational learning and graph neural networks for aggregate graph queries.

Published in:

Machine Learning, 2021, v. 110, n. 7, p. 1847, doi. 10.1007/s10994-021-06007-5

By:

Embar, Varun;
Srinivasan, Sriram;
Getoor, Lise

Publication type:

Article

Guest editors' introduction: special issue on Inductive Logic Programming (ILP 2019).

Published in:

2020

By:

Kazakov, Dimitar;
Železný, Filip

Publication type:

Editorial

Transfer learning by mapping and revising boosted relational dependency networks.

Published in:

Machine Learning, 2020, v. 109, n. 7, p. 1435, doi. 10.1007/s10994-020-05871-x

By:

Azevedo Santos, Rodrigo;
Paes, Aline;
Zaverucha, Gerson

Publication type:

Article

Efficient learning with robust gradient descent.

Published in:

Machine Learning, 2019, v. 108, n. 8/9, p. 1523, doi. 10.1007/s10994-019-05802-5

By:

Holland, Matthew J.;
Ikeda, Kazushi

Publication type:

Article

Online probabilistic theory revision from examples with ProPPR.

Published in:

Machine Learning, 2019, v. 108, n. 7, p. 1165, doi. 10.1007/s10994-019-05798-y

By:

Guimarães, Victor;
Paes, Aline;
Zaverucha, Gerson

Publication type:

Article

Semi-supervised online structure learning for composite event recognition.

Published in:

Machine Learning, 2019, v. 108, n. 7, p. 1085, doi. 10.1007/s10994-019-05794-2

By:

Michelioudakis, Evangelos;
Artikis, Alexander;
Paliouras, Georgios

Publication type:

Article

Preface to special issue on Inductive Logic Programming, ILP 2017 and 2018.

Published in:

Machine Learning, 2019, v. 108, n. 7, p. 1057, doi. 10.1007/s10994-019-05790-6

By:

Lachiche, Nicolas;
Vrain, Christel;
Riguzzi, Fabrizio;
Bellodi, Elena;
Zese, Riccardo

Publication type:

Article

Lifted discriminative learning of probabilistic logic programs.

Published in:

Machine Learning, 2019, v. 108, n. 7, p. 1111, doi. 10.1007/s10994-018-5750-0

By:

Nguembang Fadja, Arnaud;
Riguzzi, Fabrizio

Publication type:

Article

Rethinking statistical learning theory: learning using statistical invariants.

Published in:

Machine Learning, 2019, v. 108, n. 3, p. 381, doi. 10.1007/s10994-018-5742-0

By:

Vapnik, Vladimir;
Izmailov, Rauf

Publication type:

Article

Experimental Characterization-Based Machine Learning Modeling for the Estimation of Geotechnical Properties of Clay Liners.

Published in:

Geotechnical & Geological Engineering, 2023, v. 41, n. 2, p. 1503, doi. 10.1007/s10706-022-02350-z

By:

Rashid, Hafiz Muhammad Awais;
Sufyan, Muhammad;
Ismail, Atif;
Waqas, Umer

Publication type:

Article

Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook.

Published in:

Artificial Intelligence Review, 2022, v. 55, n. 1, p. 111, doi. 10.1007/s10462-021-10047-7

By:

Urs, Namratha;
Behpour, Sahar;
Georgaras, Angie;
Albert, Mark V.

Publication type:

Article

Sex estimation from the greater sciatic notch: a comparison of classical statistical models and machine learning algorithms.

Published in:

International Journal of Legal Medicine, 2021, v. 135, n. 6, p. 2603, doi. 10.1007/s00414-021-02700-1

By:

Knecht, Siam;
Nogueira, Luísa;
Servant, Maël;
Santos, Frédéric;
Alunni, Véronique;
Bernardi, Caroline;
Quatrehomme, Gérald

Publication type:

Article

Neural correlates of implicit knowledge about statistical regularities.

Published in:

Experimental Brain Research, 2017, v. 235, n. 12, p. 3573, doi. 10.1007/s00221-017-5083-4

By:

Otsuka, Sachio;
Saiki, Jun

Publication type:

Article

Assessing SDN Controller Vulnerabilities: A Survey on Attack Typologies, Detection Mechanisms, Controller Selection, and Dataset Application in Machine Learning: Assessing SDN Controller Vulnerabilities...: J. Arevalo-Herrera et al.

Published in:

2025

By:

Arevalo-Herrera, Juliana;
Camargo Mendoza, Jorge;
Martínez Torre, Jose Ignacio;
Zona-Ortiz, Tatiana;
Ramirez, Juan M.

Publication type:

Literature Review

The vanishing learning rate asymptotic for linear L<sup>2</sup>-boosting.

Published in:

ESAIM: Probability & Statistics, 2024, v. 28, p. 227, doi. 10.1051/ps/2024006

By:

Dombry, Clément;
Esstafa, Youssef

Publication type:

Article

Less Annotating, More Classifying: Addressing the Data Scarcity Issue of Supervised Machine Learning with Deep Transfer Learning and BERT-NLI.

Published in:

Political Analysis, 2024, v. 32, n. 1, p. 84, doi. 10.1017/pan.2023.20

By:

Laurer, Moritz;
van Atteveldt, Wouter;
Casas, Andreu;
Welbers, Kasper

Publication type:

Article

Hierarchically Regularized Entropy Balancing.

Published in:

Political Analysis, 2023, v. 31, n. 3, p. 457, doi. 10.1017/pan.2022.12

By:

Xu, Yiqing;
Yang, Eddie

Publication type:

Article

Can nonexperts really emulate statistical learning methods? A comment on "The accuracy, fairness, and limits of predicting recidivism".

Published in:

2019

By:

Bansak, Kirk

Publication type:

Letter

基于流形邻域保持嵌入分布对齐的轴承故障诊断方法.

Published in:

Machine Tool & Hydraulics, 2024, v. 52, n. 24, p. 189, doi. 10.3969/j.issn.1001-3881.2024.24.029

By:

钱孟浩;
李彥廷;
郑哲;
刘海盈;
王晓宁;
董飞

Publication type:

Article

Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework.

Published in:

CivilEng, 2024, v. 5, n. 4, p. 949, doi. 10.3390/civileng5040048

By:

Al-Hamdan, Abdallah B.;
Alatoom, Yazan Ibrahim;
Nlenanya, Inya;
Smadi, Omar

Publication type:

Article

Procedural Learning, Dyslexia and Maths.

Published in:

Asia Pacific Journal of Developmental Differences, 2021, v. 8, n. 2, p. 353

By:

Fawcett, Angela

Publication type:

Article

Bayesian risk prediction model for colorectal cancer mortality through integration of clinicopathologic and genomic data.

Published in:

NPJ Precision Oncology, 2023, v. 7, n. 1, p. 1, doi. 10.1038/s41698-023-00406-8

By:

Zhao, Melissa;
Lau, Mai Chan;
Haruki, Koichiro;
Väyrynen, Juha P.;
Gurjao, Carino;
Väyrynen, Sara A.;
Dias Costa, Andressa;
Borowsky, Jennifer;
Fujiyoshi, Kenji;
Arima, Kota;
Hamada, Tsuyoshi;
Lennerz, Jochen K.;
Fuchs, Charles S.;
Nishihara, Reiko;
Chan, Andrew T.;
Ng, Kimmie;
Zhang, Xuehong;
Meyerhardt, Jeffrey A.;
Song, Mingyang;
Wang, Molin

Publication type:

Article

便携式X射线荧光光谱法结合支持向量回归算法定量分析土壤中的砷含量.

Published in:

Chinese Journal of Inorganic Analytical Chemistry / Zhongguo Wuji Fenxi Huaxue, 2023, v. 13, n. 6, p. 530, doi. 10.3969/j.issn.2095-1035.2023.06.003

By:

杨桂兰;
倪晓芳;
唐晓勇

Publication type:

Article

The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia.

Published in:

Bioengineering (Basel), 2025, v. 12, n. 1, p. 63, doi. 10.3390/bioengineering12010063

By:

Doknić, Ilija;
Mitrović, Mirjana;
Bukumirić, Zoran;
Virijević, Marijana;
Pantić, Nikola;
Sabljić, Nikica;
Antić, Darko;
Bojović, Živko

Publication type:

Article

Periodontitis and Metabolic Syndrome: Statistical and Machine Learning Analytics of a Nationwide Study.

Published in:

Bioengineering (Basel), 2023, v. 10, n. 12, p. 1384, doi. 10.3390/bioengineering10121384

By:

Wilensky, Asaf;
Frank, Noa;
Mizraji, Gabriel;
Tzur, Dorit;
Goldstein, Chen;
Almoznino, Galit

Publication type:

Article

Caloric devices: A review on numerical modeling and optimization strategies.

Published in:

International Journal of Energy Research, 2021, v. 45, n. 13, p. 18498, doi. 10.1002/er.7023

By:

Silva, Daniel J.;
Ventura, João;
Araújo, João P.

Publication type:

Article

Statistical learning of alternating priors in a random-walk eye-movement paradigm.

Published in:

Journal of Eye Movement Research, 2019, v. 12, n. 7, p. 234

By:

Krügel, André

Publication type:

Article

A material footprint model for green information systems – using statistical learning to identify the predictors of natural resource use.

Published in:

Cogent Engineering, 2019, v. 6, n. 1, p. 1, doi. 10.1080/23311916.2019.1616655

By:

Buhl, Johannes;
Liedtke, Christa;
Teubler, Jens;
Schuster, Sebastian;
Bienge, Katrin;
Aziz, Hamidi Abdul

Publication type:

Article