Results 41 to 50 of about 7,350 (305)
Lower bounds for multi-pass processing of multiple data streams [PDF]
, 2009 This paper gives a brief overview of computation models for data stream processing, and it introduces a new model for multi-pass processing of multiple streams, the so-called mp2s-automata.
Schweikardt, Nicole
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Personalized Online Live Video Streaming Using Softmax-Based Multinomial Classification
Applied Sciences, 2019 As the demand for over-the-top and online streaming services exponentially increases, many techniques for Quality of Experience (QoE) provisioning have been studied. Users can take actions (e.g., skipping) while streaming a video.
Kyeongseon Kim +3 more
doaj +1 more source
SOTXTSTREAM: Density-based self-organizing clustering of text streams. [PDF]
PLoS ONE, 2017 A streaming data clustering algorithm is presented building upon the density-based self-organizing stream clustering algorithm SOSTREAM. Many density-based clustering algorithms are limited by their inability to identify clusters with heterogeneous ...
Avory C Bryant, Krzysztof J Cios
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Reinforcement learning algorithms for DASH video streaming [PDF]
, 2022 DASH is a video streaming standard developed in 2011; the servers have several copies of every video at different bitrates, leaving the clients complete freedom to adapt to the available bandwidth.
Chiariotti, Federico
core
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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Parameterized Complexity of Streaming Diameter and Connectivity Problems [PDF]
, 2022 We initiate the investigation of the parameterized complexity of Diameter and Connectivity in the streaming paradigm. On the positive end, we show that knowing a vertex cover of size k allows for algorithms in the Adjacency List (AL) streaming model ...
van Leeuwen, Erik Jan +3 more
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A Comparative Study of Continual, Lifelong, and Online Supervised Learning Libraries
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2023 Machine learning has shown to be a crucial part of big data analytics; however, it lacks when the data is continuously streaming in from the system and changing too much from the original training data.
Nicholas Cummins +5 more
doaj +1 more source
An ensemble-based online learning algorithm for streaming data
CoRR, 2017 In this study, we introduce an ensemble-based approach for online machine learning. The ensemble of base classifiers in our approach is obtained by learning Naive Bayes classifiers on different training sets which are generated by projecting the original training set to lower dimensional space.
Tien Thanh Nguyen +4 more
openaire +2 more sources
Engineering Streaming Algorithms
, 2017 Streaming algorithms must process a large quantity of small updates quickly to allow queries about the input to be answered from a small summary. Initial work on streaming algorithms laid out theoretical results, and subsequent efforts have involved ...
Cormode, Graham
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Online Maximum k-Coverage [PDF]
, 2011 Edge-matching problems, also called puzzles, are abstractions of placement problems with neighborhood conditions. Pieces with colored edges have to be placed on a board such that adjacent edges have the same color.
V. T. Paschos +25 more
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