Search Results - recursive last squares algorithm with auxiliary variable*

Recursive Variable Projection Algorithm for a Class of Separable Nonlinear Models.

Authors: Gan, Min Guan, Yu Chen, Guang-Yong et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Nov2021, Vol. 32 Issue 11, p4971-4982, 12p

Subject Terms: ALGORITHMS, SIGNAL processing, SYSTEM identification, PARAMETER estimation, MACHINE learning, RECURSION theory

High-Dimensional Imputation for the Social Sciences: A Comparison of State-of-The-Art Methods.

Authors: Costantini, Edoardo Lang, Kyle M. Reeskens, Tim et al.

Source: Sociological Methods & Research; May2025, Vol. 54 Issue 2, p448-499, 52p

Subject Terms: PRINCIPAL components analysis, MISSING data (Statistics), SOCIAL comparison, RANDOM forest algorithms, DATA analysis

A New Variable Regularized QR Decomposition-Based Recursive Least M-Estimate Algorithm—Performance Analysis and Acoustic Applications.

Authors: Chan, S. C. Chu, Y. J. Zhang, Z. G. et al.

Source: IEEE Transactions on Audio, Speech & Language Processing; May2013, Vol. 21 Issue 5, p907-922, 16p

Subject Terms: ALGORITHMS, MATHEMATICAL decomposition, RECURSIVE functions, ADAPTIVE filters, STOCHASTIC convergence, RANDOM noise theory

The White Puzzle: A Framework for Computation as a Recursive‑Harmonic Phenomenon

Authors: KULIK, DEAN

Enhanced short-term prediction of urban PM2.5 concentrations by improved hybrid deep learning.

Authors: Zhou, Yin Lyu, Yaping Dang, Xiuli et al.

Source: Journal of Environmental Health Science & Engineering; Dec2025, Vol. 23 Issue 2, p1-10, 10p

RESEARCH ON SPORTS ECOTOURISM DEMAND PREDICTION BASED ON IMPROVED FOA ALGORITHM.

Authors: Xiang, Ting Zhuo, Lin

Source: International Journal of Medicine & Science of Physical Activity & Sport / Revista Internacional de Medicina y Ciencias de la Actividad Física y del Deporte; mar2025, Vol. 25 Issue 100, p518-535, 18p

Subject Terms: TOURIST attractions, TOURISM, SUPPORT vector machines, PREDICTION models, GROSS domestic product

Machine learning applications in vadose zone hydrology: A review.

Authors: Li, Xiang Nieber, John L. Kumar, Vipin

Source: Vadose Zone Journal; Jul2024, Vol. 23 Issue 4, p1-31, 31p

Subject Terms: ARTIFICIAL neural networks, MACHINE learning, DEEP learning, HYDROLOGY, RANDOM forest algorithms

Infrared: a declarative tree decomposition-powered framework for bioinformatics.

Authors: Yao, Hua-Ting Marchand, Bertrand Berkemer, Sarah J. et al.

Source: Algorithms for Molecular Biology; 3/16/2024, Vol. 19 Issue 1, p1-29, 29p

Subject Terms: PYTHON programming language, BIOINFORMATICS, DYNAMIC programming, PROBLEM solving, NUCLEOTIDE sequence, FUZZY algorithms

LUNG CANCER DETECTION USING RESNET50-CNN MODEL IN IMAGE PROCESSING.

Authors: M. L., SRINIVASAN MALATHI, M.

Source: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p714-731, 18p

An Interval Autocorrelation Mix-Up of Data Augmentation Based on the Time Series Prediction for Wastewater Treatment Model.

Authors: Fang, Qunhao Cui, Xin Ning, Haoran et al.

Source: Water (20734441); May2025, Vol. 17 Issue 10, p1525, 21p

Subject Terms: LONG short-term memory, ARTIFICIAL neural networks, DATA augmentation, WASTEWATER treatment, WATER quality

Development and Comparison of Methods for Identification of Baseflow-Dominant Periods in Streamflow Records.

Authors: Aghababaei, Amin Jones, Norman L. Williams, Gustavious P. et al.

Source: Water (20734441); Nov2025, Vol. 17 Issue 21, p3083, 31p

Subject Terms: STREAMFLOW, MACHINE learning, HYDROLOGY, HYDROLOGICAL research, GROUNDWATER, GROUNDWATER flow, WATER management, AUTOMATIC classification

Geographic Terms: UNITED States

The 34th Anual Meeting of the Asian Pacific Association for the study of the liver.

Source: Hepatology International; 2025 Suppl 1, Vol. 19, p1-1554, 1554p

The Liver Meeting: 2025 Abstracts.

Source: Hepatology (02709139); 2025Supplement, Vol. 82, pS1-S2308, 2308p

Approximate and Exact Optimization Algorithms for the Beltway and Turnpike Problems with Duplicated, Missing, Partially Labeled, and Uncertain Measurements.

Authors: Elder, C.S. Hoang, Minh Ferdosi, Mohsen et al.

Source: Journal of Computational Biology; Oct2024, Vol. 31 Issue 10, p908-926, 19p

AN AUTOMATED BREAST CANCER DETECTION BY HEURISTIC-BASED ENSEMBLE DEEP CLASSIFIER USING MAMMOGRAM AND TOMOSYNTHESIS IMAGES.

Authors: Kumar, M. N. V. S. S. Chaitanya, D. Eswara Ganesh, L. et al.

Source: Biomedical Engineering: Applications, Basis & Communications; Apr2024, Vol. 36 Issue 2, p1-25, 25p

Subject Terms: DEEP learning, EARLY detection of cancer, BREAST cancer, ARTIFICIAL neural networks, MAMMOGRAMS, TOMOSYNTHESIS, FUZZY algorithms, NAIVE Bayes classification

A Hybrid Recursive Implementation of Broad Learning With Incremental Features.

Authors: Liu, Di Baldi, Simone Yu, Wenwu et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Apr2022, Vol. 33 Issue 4, p1650-1662, 13p

Subject Terms: BLENDED learning, INSTRUCTIONAL systems, SUPERVISED learning

Company/Entity: UNITED States. Bureau of Labor Statistics

'Where the Creeks Run Dry or Ten Feet High': A Probabilistic Approach to Stage Height Forecasting in Australia.

Authors: Athukorala, Rajitha Mohasel Afshar, Hadi Cripps, Sally et al.

Source: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-23, 23p

Subject Terms: BAYESIAN analysis, HYDROLOGIC models, PRECIPITATION variability, WATER management, STREAMFLOW, UNCERTAINTY (Information theory), STOCHASTIC models

Geographic Terms: AUSTRALIA

A deep generative approach to cancer prognosis: MMD-VAE for multi-omics data fusion.

Authors: Hassan, Asmaa M. Naeem, Safaa M. Eldosoky, Mohamed A. A. et al.

Source: Network Modeling & Analysis in Health Informatics & Bioinformatics; 8/31/2025, Vol. 14 Issue 1, p1-22, 22p

Neural Correlates of Huntington's Disease Based on Electroencephalography (EEG): A Mechanistic Review and Discussion of Excitation and Inhibition (E/I) Imbalance.

Authors: Chmiel, James Nadobnik, Jarosław Smerdel, Szymon et al.

Source: Journal of Clinical Medicine; Jul2025, Vol. 14 Issue 14, p5010, 53p

Subject Terms: HUNTINGTON disease, ELECTROENCEPHALOGRAPHY, NEUROPHYSIOLOGY, MACHINE learning, BIOMARKERS, NEURAL circuitry

Spatiotemporal prediction of soil organic carbon density in Europe (2000–2022) using earth observation and machine learning.

Authors: Tian, Xuemeng de Bruin, Sytze Simoes, Rolf et al.

Source: PeerJ; Jul2025, p1-56, 56p