Cargando…

Enhancing Predictability Assessment: An Overview and Analysis of Predictability Measures for Time Series and Network Links

Driven by the variety of available measures intended to estimate predictability of diverse objects such as time series and network links, this paper presents a comprehensive overview of the existing literature in this domain. Our overview delves into predictability from two distinct perspectives: th...

Descripción completa

Detalles Bibliográficos
Autores principales:	Bezbochina, Alexandra, Stavinova, Elizaveta, Kovantsev, Anton, Chunaev, Petr
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670407/ https://www.ncbi.nlm.nih.gov/pubmed/37998234 http://dx.doi.org/10.3390/e25111542

Ejemplares similares

Data Fitting by Exponential Sums with Equal Weights
por: Chunaev, Petr, et al.
Publicado: (2020)

Measuring Complexity and Predictability of Time Series with Flexible Multiscale Entropy for Sensor Networks
por: Zhou, Renjie, et al.
Publicado: (2017)

Taming the Chaos in Neural Network Time Series Predictions
por: Raubitzek, Sebastian, et al.
Publicado: (2021)

Enhanced bayesian network models for spatial time series prediction: recent research trend in data-driven predictive analytics
por: Das, Monidipa, et al.
Publicado: (2019)

Link-Prediction Enhanced Consensus Clustering for Complex Networks
por: Burgess, Matthew, et al.
Publicado: (2016)

Measuring the value of accurate link prediction for network seeding
por: Wei, Yijin, et al.
Publicado: (2017)

Financial Time Series Prediction Using Spiking Neural Networks
por: Reid, David, et al.
Publicado: (2014)

Chaos and Predictability in Ionospheric Time Series
por: Materassi, Massimo, et al.
Publicado: (2023)

Predicting Physical Time Series Using Dynamic Ridge Polynomial Neural Networks
por: Al-Jumeily, Dhiya, et al.
Publicado: (2014)

Financial Time Series Prediction Using Elman Recurrent Random Neural Networks
por: Wang, Jie, et al.
Publicado: (2016)

Broad Echo State Network with Reservoir Pruning for Nonstationary Time Series Prediction
por: Liu, Wenjie, et al.
Publicado: (2022)

A convolutional neural network based approach to financial time series prediction
por: Durairaj, Dr. M., et al.
Publicado: (2022)

Prediction of Labor Unemployment Based on Time Series Model and Neural Network Model
por: Liu, Xitao, et al.
Publicado: (2022)

Link Prediction in Bipartite Nested Networks
por: Medo, Matúš, et al.
Publicado: (2018)

Prediction Model of International Trade Risk Based on Stochastic Time-Series Neural Network
por: Xu, Lei, et al.
Publicado: (2022)

Geometric algebra based recurrent neural network for multi-dimensional time-series prediction
por: Li, Yanping, et al.
Publicado: (2022)

Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators
por: Zhao, Haoran, et al.
Publicado: (2023)

Predictions in time series using regression models
por: Štulajter, František
Publicado: (2002)

Smoothing, forecasting and prediction of discrete time series
por: Brown, Robert Goodell
Publicado: (1962)

Technology investigation on time series classification and prediction
por: Tong, Yuerong, et al.
Publicado: (2022)

Time series extrinsic regression: Predicting numeric values from time series data
por: Tan, Chang Wei, et al.
Publicado: (2021)

Prediction of Links and Weights in Networks by Reliable Routes
por: Zhao, Jing, et al.
Publicado: (2015)

Link prediction in multiplex online social networks
por: Jalili, Mahdi, et al.
Publicado: (2017)

Predicting cryptic links in host-parasite networks
por: Dallas, Tad, et al.
Publicado: (2017)

Application of network link prediction in drug discovery
por: Abbas, Khushnood, et al.
Publicado: (2021)

Link Prediction on Complex Networks: An Experimental Survey
por: Wu, Haixia, et al.
Publicado: (2022)

Determinable and interpretable network representation for link prediction
por: Deng, Yue
Publicado: (2022)

Prediction of Time Series Gene Expression and Structural Analysis of Gene Regulatory Networks Using Recurrent Neural Networks
por: Monti, Michele, et al.
Publicado: (2022)

Prediction of hierarchical time series using structured regularization and its application to artificial neural networks
por: Shiratori, Tomokaze, et al.
Publicado: (2020)

Predictive study of tuberculosis incidence by time series method and Elman neural network in Kashgar, China
por: Zheng, Yanling, et al.
Publicado: (2021)

An interpretable DIC risk prediction model based on convolutional neural networks with time series data
por: Yang, Hao, et al.
Publicado: (2022)

Predicting online participation through Bayesian network analysis
por: Kopacheva, Elizaveta
Publicado: (2021)

Grammar-based feature generation for time-series prediction
por: De Silva, Anthony Mihirana, et al.
Publicado: (2015)

Nonlinear analysis and prediction of time series in multiphase reactors
por: Liu, Mingyan, et al.
Publicado: (2014)

Time series prediction with improved neuro-endocrine model
por: Chen, Debao, et al.
Publicado: (2013)

Link Prediction with Continuous-Time Classical and Quantum Walks
por: Goldsmith, Mark, et al.
Publicado: (2023)

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
por: Sopelsa Neto, Nemesio Fava, et al.
Publicado: (2022)

Exploring the Relationship among Predictability, Prediction Accuracy and Data Frequency of Financial Time Series
por: Li, Shuqi, et al.
Publicado: (2020)

Time Series Data Analysis of Wireless Sensor Network Measurements of Temperature
por: Bhandari, Siddhartha, et al.
Publicado: (2017)

Software Design Challenges in Time Series Prediction Systems Using Parallel Implementation of Artificial Neural Networks
por: Manikandan, Narayanan, et al.
Publicado: (2016)

Cannot write session to /tmp/vufind_sessions/sess_7eb3ajligk3tmu03g14jrh04ih