AMM: An Adaptive Online Map Matching Algorithm
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2023.3237519
Abstract: Online map matching is essential for some location-based services, such as car navigation. However, due to GPS measurement errors and/or the lack of sufficient information, the performance of most existing online algorithms will degrade in… read more here.
Keywords: adaptive online; map matching; matching algorithm; online map ... See more keywords
A Note on the Unification of Adaptive Online Learning
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2016.2527053
Abstract: In online convex optimization, adaptive algorithms, which can utilize the second-order information of the loss function’s (sub)gradient, have shown improvements over standard gradient methods. This paper presents a framework Follow the Bregman Divergence Leader that… read more here.
Keywords: note unification; adaptive online; online learning; online ... See more keywords
Design and Development of Adaptive Online Learning Management System for Harmony
Sign Up to like & getrecommendations! Published in 2020 at "Journal of The Korean Chemical Society"
DOI: 10.15207/jkcs.2020.11.8.139
Abstract: Due to the rapid development of computer technology, online learning using ICT technology is already quickly settling in our lives. Music education was conducted mainly in an offline-based environment, but research is being conducted to… read more here.
Keywords: system; education; harmony; online ... See more keywords
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models
Sign Up to like & getrecommendations! Published in 2021 at "Mathematics"
DOI: 10.3390/math9131523
Abstract: This paper addresses the problem of predicting time series data using the autoregressive integrated moving average (ARIMA) model in an online manner. Existing algorithms require model selection, which is time consuming and unsuitable for the… read more here.
Keywords: adaptive online; moving average; integrated moving; online learning ... See more keywords