Results 31 to 40 of about 25,310,122 (328)
Toward Budgeted Online Kernel Ridge Regression on Streaming Data
IEEE Access, 2019 “Concept drift”makes learning from streaming data fundamentally different from traditional batch learning. Focusing on the regression task on streaming data, this paper presents an efficient online learning algorithm, i.e., budgeted online ...
Fuhao Gao +3 more
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Saber: window-based hybrid stream processing for heterogeneous architectures [PDF]
, 2015 Modern servers have become heterogeneous, often combining multicore CPUs with many-core GPGPUs. Such heterogeneous architectures have the potential to improve the performance of data-intensive stream processing applications, but they are not supported by
Costa, P +5 more
core +1 more source
Real-Time Power System Event Detection: A Novel Instance Selection Approach
IEEE Access, 2023 This study presents a novel adaptation of the Hoeffding Adaptive Tree (HAT) classifier with an instance selection algorithm that detects and identifies cyber and non-cyber contingencies in real time to enhance the situational awareness of cyber-physical ...
Gabriel Intriago, Yu Zhang
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Emergence of Kinetic Behavior in Streaming Ultracold Neutral Plasmas [PDF]
, 2015 We create streaming ultracold neutral plasmas by tailoring the photoionizing laser beam that creates the plasma. By varying the electron temperature, we control the relative velocity of the streaming populations, and, in conjunction with variation of the
Bradshaw, S. +3 more
core +2 more sources
Semi-Streaming Algorithms for Annotated Graph Streams [PDF]
, 2015 Considerable effort has been devoted to the development of streaming algorithms for analyzing massive graphs. Unfortunately, many results have been negative, establishing that a wide variety of problems require $\Omega(n^2)$ space to solve.
Thaler, Justin
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Self-Attention Network for Session-Based Recommendation With Streaming Data Input
IEEE Access, 2019 In the current era of the rapid development of big data, it has become increasingly critical and practical to study recommender systems with streaming data input.
Shiming Sun +3 more
doaj +1 more source
Heuristics Miners for Streaming Event Data [PDF]
, 2012 More and more business activities are performed using information systems. These systems produce such huge amounts of event data that existing systems are unable to store and process them.
Burattin, Andrea +2 more
core +2 more sources
Annotations in Data Streams [PDF]
ACM Transactions on Algorithms, 2014 The central goal of data stream algorithms is to process massive streams of data using sublinear storage space. Motivated by work in the database community on outsourcing database and data stream processing, we ask whether the space usage of such algorithms can be further reduced by enlisting a more powerful “helper”
Chakrabarti, Amit +3 more
openaire +2 more sources
Research and Application of an Online Train ConditionMonitoring Method Based on Streaming Data
Kongzhi Yu Xinxi Jishu, 2021 In order to detect the online status of trains in real time, traditional threshold detection methods can only make judgments on the status of equipment or systems based on numerical performance, while ignoring the train health status changes reflected in
FENG Furen
doaj
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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