OSFS‐Vague: Online streaming feature selection algorithm based on vague set
CAAI Transactions on Intelligence TechnologyOnline streaming feature selection (OSFS), as an online learning manner to handle streaming features, is critical in addressing high‐dimensional data. In real big data‐related applications, the patterns and distributions of streaming features constantly ...
Jie Yang +5 more
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Quantum and Classical Log-Bounded Automata for the Online Disjointness Problem
Mathematics, 2022 We consider online algorithms with respect to the competitive ratio. In this paper, we explore one-way automata as a model for online algorithms. We focus on quantum and classical online algorithms. For a specially constructed online minimization problem,
Kamil Khadiev, Aliya Khadieva
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Online Support Vector Machine with a Single Pass for Streaming Data
Mathematics, 2022 In this paper, we focus on training a support vector machine (SVM) online with a single pass over streaming data.Traditional batch-mode SVMs require previously prepared training data; these models may be unsuitable for streaming data circumstances ...
Lisha Hu +4 more
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ABRaider: Multiphase Reinforcement Learning for Environment-Adaptive Video Streaming
IEEE Access, 2022 HTTP-based video streaming technology is widely used in today’s video delivery services. The streaming solution uses the adaptive bitrate (ABR) algorithm for better video quality and user experience.
Wangyu Choi, Jiasi Chen, Jongwon Yoon
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Review of Anomaly Detection Algorithms for Data Streams
Applied Sciences, 2023 With the rapid development of emerging technologies such as self-media, the Internet of Things, and cloud computing, massive data applications are crossing the threshold of the era of real-time analysis and value realization, which makes data streams ...
Tianyuan Lu, Lei Wang, Xiaoyong Zhao
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Streaming Data Classification Based on Hierarchical Concept Drift and Online Ensemble
IEEE Access, 2023 In order to improve the performance of online learning in the real-time distribution of streaming data, a streaming data classification algorithm based on hierarchical concept drift and online ensemble(SCHCDOE) is proposed in this paper.
Ning Liu, Jianhua Zhao
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Tracking online low-rank approximations of higher-order incomplete streaming tensors
Patterns, 2023 Summary: In this paper, we propose two new provable algorithms for tracking online low-rank approximations of high-order streaming tensors with missing data.
Le Trung Thanh +3 more
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An Online Hashing Algorithm for Image Retrieval Based on Optical-Sensor Network
Sensors, 2023 Online hashing is a valid storage and online retrieval scheme, which is meeting the rapid increase in data in the optical-sensor network and the real-time processing needs of users in the era of big data.
Xiao Chen, Yanlong Li, Chen Chen
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Towards secure and network state aware bitrate adaptation at IoT edge
Journal of Cloud Computing: Advances, Systems and Applications, 2020 Video streaming is critical in IoT systems, enabling a variety of applications such as traffic monitoring and health caring. Traditional adaptive bitrate streaming (ABR) algorithms mainly focus on improving Internet video streaming quality where network ...
Zeng Zeng +6 more
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Markov Boundary Learning With Streaming Data for Supervised Classification
IEEE Access, 2020 In this paper, we study the problem of Markov boundary (MB) learning with streaming data. A MB is a crucial concept in a Bayesian network (BN) and plays an important role in BN structure learning.
Chaofan Liu, Shuai Yang, Kui Yu
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