Výsledky vyhledávání - Variational expected maximum algorithm

VGAEDTI: drug-target interaction prediction based on variational inference and graph autoencoder

Autoři: Yuanyuan Zhang Yinfei Feng Mengjie Wu a další

Zdroj: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-17 (2023)

Témata: Drug-target interaction prediction, Variational inference, Graph autoencoder, Variational expected maximum algorithm, Drug repurposing, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5

Popis souboru: electronic resource

Relation: https://doaj.org/toc/1471-2105

Přístupová URL adresa: https://doaj.org/article/58acb6ca5bc3424cb5a8681ea5dfac1a

Hybrid Variational Modal Decomposition-Extreme Learning Machine-Adaptive Boosting Model for Monthly Runoff Prediction.

Autoři: Wu, Li Tian, Junfeng Jiang, Zhongfeng a další

Zdroj: Water (20734441); Nov2025, Vol. 17 Issue 21, p3129, 20p

Témata: EXTREME learning machines, BOOSTING algorithms, ENSEMBLE learning, WATER management, RUNOFF analysis, FLOOD control

Exploring AI Approaches for Breast Cancer Detection and Diagnosis: A Review Article.

Autoři: Ali, Akbar Alghamdi, Mansoor Marzuki, Shahira Sofea a další

Zdroj: Breast Cancer: Targets & Therapy; Oct2025, Vol. 17, p927-947, 21p

Témata: BREAST cancer, ARTIFICIAL intelligence, DEEP learning, MAXIMUM likelihood statistics, DETECTION algorithms, DIAGNOSIS, GENERATIVE adversarial networks, CONVOLUTIONAL neural networks

A hierarchical Bayesian inference model for volatile multivariate exponentially distributed signals.

Autoři: Zhu, Changbo Zhou, Ke Tang, Fengzhen a další

Zdroj: Frontiers in Computational Neuroscience; 2025, p1-13, 13p

Témata: BAYESIAN analysis, DISTRIBUTION (Probability theory), PARAMETER estimation, NEUROPHYSIOLOGY, TIME series analysis, PREDICTION models, VARIATIONAL principles, MULTILEVEL models

Application and optimization of PINNs algorithm to 3D biomechanical heat transfer problems.

Autoři: Zhao, Tianjian

Zdroj: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 5, p1-18, 18p

Témata: COMPUTER simulation of heat transfer, TISSUES, TEMPERATURE lapse rate, STRESS concentration, MACHINE learning, APPROXIMATION error, COMPUTER performance

Variational Bayes for Fast and Accurate Empirical Likelihood Inference.

Autoři: Yu, Weichang Bondell, Howard D.

Zdroj: Journal of the American Statistical Association; Jun2024, Vol. 119 Issue 546, p1089-1101, 13p

Témata: OPTIMIZATION algorithms, VON Neumann algebras

A Novel Generalized Semi‐Analytical Approach for Flood Control Reservoir Design.

Autoři: Pirone, Dina Cimorelli, Luigi D'Aniello, Andrea a další

Zdroj: Water Resources Research; Aug2025, Vol. 61 Issue 8, p1-20, 20p

Témata: FLOOD control, OPTIMIZATION algorithms, SCIENTIFIC method, WATER management, FLOODPLAIN management, RUNOFF analysis, RUNOFF models

Deep Learning Method Based on Multivariate Variational Mode Decomposition for Classification of Epileptic Signals.

Autoři: Zhang, Shang Liu, Guangda Sun, Shiqing a další

Zdroj: Brain Sciences (2076-3425); Sep2025, Vol. 15 Issue 9, p933, 21p

Témata: DEEP learning, CLASSIFICATION, NEUROSCIENCES, SEIZURES (Medicine), MACHINE learning, SIGNAL processing, PEOPLE with epilepsy

A Note on Standard Errors for Multidimensional Two-Parameter Logistic Models Using Gaussian Variational Estimation.

Autoři: Xiao, Jiaying Wang, Chun Xu, Gongjun

Zdroj: Applied Psychological Measurement; Sep2024, Vol. 48 Issue 6, p276-294, 19p

Témata: ITEM response theory, ERROR analysis in mathematics, ALGORITHMS

Prediction of Dam Inflow in the River Basin Through Representative Hydrographs and Auto-Setting Artificial Neural Network.

Autoři: Ryu, Yong Min Lee, Eui Hoon

Zdroj: Water (20734441); Sep2025, Vol. 17 Issue 18, p2689, 19p

Témata: ARTIFICIAL neural networks, HYDROLOGICAL forecasting, TIME series analysis, CLUSTERING algorithms, ROOT-mean-squares, CLIMATE change, HYDROLOGIC models

Geografický termín: SOUTH Korea

Research on Annual Runoff Prediction Model Based on Adaptive Particle Swarm Optimization–Long Short-Term Memory with Coupled Variational Mode Decomposition and Spectral Clustering Reconstruction.

Autoři: Wang, Xueni Chang, Jianbo Jin, Hua a další

Zdroj: Water (20734441); Apr2024, Vol. 16 Issue 8, p1179, 18p

Témata: RUNOFF models, SHORT-term memory, WATER management, PREDICTION models, MACHINE learning, HILBERT-Huang transform, HYDROLOGICAL stations

Geografický termín: SHANXI Sheng (China), CHINA

A latent variable model for two-dimensional canonical correlation analysis and the variational inference.

Autoři: Safayani, Mehran Momenzadeh, Saeid Mirzaei, Abdolreza a další

Zdroj: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jun2020, Vol. 24 Issue 12, p8737-8749, 13p

Témata: CANONICAL correlation (Statistics), STATISTICAL correlation, TWO-dimensional models, LATENT variables, EXPECTATION-maximization algorithms, PATTERN recognition systems, DATA reduction

Enhancing E-Commerce RMFS Order Fulfillment Through Pod Positioning with Jointly Optimized Task Allocation.

Autoři: Bi, Hualing Yang, Guangpu Wang, Zhe a další

Zdroj: Systems; Nov2025, Vol. 13 Issue 11, p995, 27p

Témata: ELECTRONIC commerce, MATHEMATICAL optimization, INDUSTRIAL robots, WAREHOUSE management, PROCESS optimization, GENETIC algorithms, RESOURCE management

Towards Fair Decision Boundaries in Clustering: Integrating Disparate Impact Criteria into Maximum Margin Clustering.

Autoři: Moorthy, Adithya K. Pochimireddy, Jaya Teja Reddy Vedula, Vijaya Saradhi a další

Zdroj: ACM Transactions on Knowledge Discovery from Data; Nov2025, Vol. 19 Issue 9, p1-24, 24p

Témata: FAIRNESS, CLUSTERING algorithms, DISPARATE impact (Law), ALGORITHMS, OPTIMIZATION algorithms

Variational Quantum Regression Application in Modeling Monthly River Discharge.

Autoři: Zhen, Liu Bărbulescu, Alina

Zdroj: Water (20734441); Jun2025, Vol. 17 Issue 12, p1836, 22p

Témata: WATER management, HYDROLOGICAL forecasting, ARTIFICIAL intelligence, MACHINE learning, REGRESSION analysis

Pattern Recognition Algorithms in Pharmacogenomics and Drug Repurposing—Case Study: Ribavirin and Lopinavir.

Autoři: Calvo, Hiram Islas-Díaz, Diana Hernández-Laureano, Eduardo

Zdroj: Pharmaceuticals (14248247); Nov2025, Vol. 18 Issue 11, p1649, 29p

Témata: PHARMACOGENOMICS, DRUG repositioning, PATTERN perception, INDIVIDUALIZED medicine, COVID-19, MACHINE learning, LOPINAVIR-ritonavir, RIBAVIRIN

A Hybrid Quantum–Classical Architecture with Data Re-Uploading and Genetic Algorithm Optimization for Enhanced Image Classification.

Autoři: Mukhanbet, Aksultan Daribayev, Beimbet

Zdroj: Computation; Aug2025, Vol. 13 Issue 8, p185, 24p

Témata: IMAGE recognition (Computer vision), QUANTUM computing, CONVOLUTIONAL neural networks, SCIENTIFIC computing, GENETIC algorithms

Introducing the kernel descent optimizer for variational quantum algorithms.

Autoři: Simon, Lars Eble, Holger Radons, Manuel

Zdroj: Scientific Reports; 8/2/2025, Vol. 15 Issue 1, p1-18, 18p

Témata: QUANTUM computing, OPTIMIZATION algorithms, MATHEMATICAL optimization, HILBERT space, VARIATIONAL approach (Mathematics)

A Linear Model for Irrigation Canals Operating in Real Time Applied in ASCE Test Cases.

Autoři: Bonet, Enrique Yubero, Maria Teresa Bascompta, Marc a další

Zdroj: Water (20734441); May2025, Vol. 17 Issue 9, p1368, 20p

Témata: SHALLOW-water equations, REAL-time control, OPTIMIZATION algorithms, STANDARD deviations, IRRIGATION

Entanglement-assisted variational algorithm for discrete optimization problems.

Autoři: Fioroni, Lorenzo Savona, Vincenzo

Zdroj: Communications Physics; 11/18/2025, Vol. 8 Issue 1, p1-8, 8p

Témata: QUANTUM annealing, QUANTUM entanglement, COMBINATORIAL optimization, MATHEMATICAL optimization, VARIATIONAL approach (Mathematics), HEURISTIC, QUANTUM computing, COHERENT states