Round Robin Active Sequential Change Detection for Dependent Multi-Channel Data

المؤلفون: Chaudhuri, A., Fellouris, G., Tajer, A.

المصدر: IEEE Transactions on Information Theory IEEE Trans. Inform. Theory Information Theory, IEEE Transactions on. 70(12):9327-9351 Dec, 2024

Spatial deep convolutional neural networks

المؤلفون: Wang, Qi, Parker, Paul A, Lund, Robert

مصطلحات موضوعية: Mathematical Sciences, Statistics, Bioengineering, Machine Learning and Artificial Intelligence, Networking and Information Technology R&D (NITRD), 1.4 Methodologies and measurements, Basis functions, Deep learning, Dependent data, Dropout layers, Keras, Artificial Intelligence and Image Processing

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/8hz2k0xv
https://escholarship.org/content/qt8hz2k0xv/qt8hz2k0xv.pdf

Optimal Bayesian Regression With Vector Autoregressive Data Dependency

المؤلفون: Reihanian, S., Dougherty, E.R., Zollanvari, A.

المصدر: IEEE Transactions on Signal Processing IEEE Trans. Signal Process. Signal Processing, IEEE Transactions on. 72:1854-1864 2024

Analysis and Prevention of Coupling-Dependent Data Flipping in Wireless Power Transfer Systems

المؤلفون: Yao, Y., Sarkar, S., Ki, W., Tsui, C.

المصدر: IEEE Transactions on Power Electronics IEEE Trans. Power Electron. Power Electronics, IEEE Transactions on. 38(8):10460-10469 Aug, 2023

Treatment effect estimation with observational network data using machine learning

المؤلفون: Emmenegger Corinne, Spohn Meta-Lina, Elmer Timon, Bühlmann Peter

المصدر: Journal of Causal Inference, Vol 13, Iss 1, Pp 591-3 (2025)

مصطلحات موضوعية: dependent data, interference, observed confounding, semiparametric inference, spillover effects, 62d20, 62g20, Mathematics, QA1-939, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2193-3685

URL الوصول: https://doaj.org/article/25ec5c8be1584caaa3b836f9775fe7e3

Unsupervised Ensemble Classification With Sequential and Networked Data

المؤلفون: Traganitis, P.A., Giannakis, G.B.

المصدر: IEEE Transactions on Knowledge and Data Engineering IEEE Trans. Knowl. Data Eng. Knowledge and Data Engineering, IEEE Transactions on. 34(10):5009-5022 Oct, 2022

Nonparametric Testing for Hammerstein Systems

المؤلفون: Pawlak, M., Lv, J.

المصدر: IEEE Transactions on Automatic Control IEEE Trans. Automat. Contr. Automatic Control, IEEE Transactions on. 67(9):4568-4584 Sep, 2022

A spatial-temporal neural network based on ResNet-Transformer for predicting railroad broken rails

المؤلفون: Wang, Xin, Dai, Junyan, Liu, Xiang ^⁎

المصدر: In Advanced Engineering Informatics May 2025 65 Part A

An evidence-based likelihood approach for the reliability of a complex system with overlapped failure data

المؤلفون: Yang, Lechang ^{a, b, c, d}

المصدر: In Computers & Industrial Engineering March 2025 201

Analysis and Mitigation of Coupling-Dependent Data Flipping in Wireless Power and Data Transfer System

المؤلفون: Qiu, H., Jiang, Y., Shi, Y., Sakurai, T., Takamiya, M.

المصدر: IEEE Transactions on Circuits and Systems I: Regular Papers IEEE Trans. Circuits Syst. I Circuits and Systems I: Regular Papers, IEEE Transactions on. 68(12):5182-5193 Dec, 2021

On Fully-Distributed Composite Tests With General Parametric Data Distributions in Sensor Networks

المؤلفون: Maya, J.A., Rey Vega, L.

المصدر: IEEE Transactions on Signal and Information Processing over Networks IEEE Trans. on Signal and Inf. Process. over Networks Signal and Information Processing over Networks, IEEE Transactions on. 7:509-521 2021

Asymptotic properties of Kaplan–Meier estimator and hazard estimator for censored survival time with LENQD data

المؤلفون: Yongming Li, Weicai Pang, Ziqing Feng, Naiyi Li

المصدر: Statistical Theory and Related Fields, Vol 8, Iss 2, Pp 107-116 (2024)

مصطلحات موضوعية: Linearly extended negative quadrant-dependent data, Kaplan–Meier estimator, strong consistency, strong representation, Probabilities. Mathematical statistics, QA273-280

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2475-4269; https://doaj.org/toc/2475-4277

URL الوصول: https://doaj.org/article/f2d5132ef7ec44f48a9975de74d4bcbd

Nonlinear modal regression for dependent data with application for predicting COVID-19.

المؤلفون: Ullah, Aman, Wang, Tao, Yao, Weixin

المصدر: Journal of the Royal Statistical Society. Series A, (Statistics in Society). 185(3)

مصطلحات موضوعية: COVID‐19, MEM algorithm, dependent data, modal regression, nonlinear, prediction, COVID-19, Statistics, Econometrics, Demography, Statistics & Probability

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/6bb6g06x

Causal inference when counterfactuals depend on the proportion of all subjects exposed

المؤلفون: Miles, Caleb H, Petersen, Maya, van der Laan, Mark J

المصدر: Biometrics. 75(3)

مصطلحات موضوعية: Mathematical Sciences, Statistics, Causality, Computer Simulation, HIV Infections, Humans, Kenya, Likelihood Functions, Machine Learning, Treatment Outcome, Triage, causal inference, dependent data, HIV/AIDS, interference, semiparametric estimation, SUTVA, Dependent data, Other Mathematical Sciences, Statistics & Probability

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/6781c95v

Nash Equilibrium-Based Semantic Cache in Mobile Sensor Grid Database Systems

المؤلفون: Fan, Q., Zeitouni, K., Xiong, N., Wu, Q., Camtepe, S., Tian, Y.

المصدر: IEEE Transactions on Systems, Man, and Cybernetics: Systems IEEE Trans. Syst. Man Cybern, Syst. Systems, Man, and Cybernetics: Systems, IEEE Transactions on. 47(9):2550-2561 Sep, 2017

Learning in a Changing World:\\Covariate Shift, Subset Selection and Optimal PAC Bounds

المؤلفون: Shetty, Abhishek

مصطلحات موضوعية: Computer science, Dependent Data, Game Theory, Machine Learning, Online Learning, Smoothed Analysis

وصف الملف: application/pdf

URL الوصول: https://escholarship.org/uc/item/2144w730
https://escholarship.org/content/qt2144w730/qt2144w730.pdf

لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.

لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.

لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.

لا يتم عرض هذه النتيجة على الضيوف.
تسجيل الدخول للوصول الكامل.