Results 21 to 30 of about 601,117 (314)
International Journal of Neural Systems, 2008 We introduce a set of clustering algorithms whose performance function is such that the algorithms overcome one of the weaknesses of K-means, its sensitivity to initial conditions which leads it to converge to a local optimum rather than the global optimum.
Barbakh, Wesam, Fyfe, Colin
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New bounds for online packing LPs [PDF]
, 2014 Solving linear programs online has been an active area of research in recent years and was used with great success to develop new online algorithms for a variety of problems. We study the setting introduced by Ochel et al.
Matthias Englert +5 more
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Improving the Competitive Ratio of the Online OVSF Code Assignment Problem
Algorithms, 2009 Online OVSF code assignment has an important application to wireless communications. Recently, this problem was formally modeled as an online problem, and performances of online algorithms have been analyzed by the competitive analysis. The previous best
Shuichi Miyazaki, Kazuya Okamoto
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Efficient Online Log Parsing with Log Punctuations Signature
Applied Sciences, 2021 Logs, recording the system runtime information, are frequently used to ensure software system reliability. As the first and foremost step of typical log analysis, many data-driven methods have been proposed for automated log parsing.
Shijie Zhang, Gang Wu
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A Pathfinding Problem for Fork-Join Directed Acyclic Graphs with Unknown Edge Length
Algorithms, 2021 In a previous paper by the author, a pathfinding problem for directed trees is studied under the following situation: each edge has a nonnegative integer length, but the length is unknown in advance and should be found by a procedure whose computational ...
Kunihiko Hiraishi
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Online learning with (multiple) kernels : a review [PDF]
, 2013 This review examines kernel methods for online learning, in particular, multiclass classification. We examine margin-based approaches, stemming from Rosenblatt's original perceptron algorithm, as well as nonparametric probabilistic approaches that are ...
Diethe, Tom, Girolami, Mark
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IEEE Access, 2017 Increased energy consumption becomes a major issue in 5G cellular networks, which inspires the network operators to deploy renewable energy sources. However, due to the fluctuating nature of renewable energy sources, the energy harvested by base stations
Bingyu Xu +4 more
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Improved Accuracy by Novel Inception Compared over GoogleNet in Predicting the Performance of Students in Online Education During COVID [PDF]
E3S Web of Conferences, 2023 The goal of this research is to enhance the accuracy of predicting students' performance in online education during the Covid-19 pandemic by comparing the Novel Inception algorithm with the GoogleNet algorithm. Materials and Methods: The current research
Sathvik P., Kalaiarasi S.
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Online Quantum Mixture Regression for Trajectory Learning by Demonstration [PDF]
, 2013 16/01/14 MEB. Pre-print version OK to add.In this work, we present the online Quantum Mixture Model (oQMM), which combines the merits of quantum mechanics and stochastic optimization. More specifically it allows for quantum effects on the mixture states,
Dimitrios Korkinof +3 more
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Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion
Entropy, 2019 In the framework of statistical learning, we study the online gradient descent algorithm generated by the correntropy-induced losses in Reproducing kernel Hilbert spaces (RKHS).
Baobin Wang, Ting Hu
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