Results 21 to 30 of about 1,247,707 (283)
Sequential Change-Point Detection via Online Convex Optimization
Entropy, 2018 Sequential change-point detection when the distribution parameters are unknown is a fundamental problem in statistics and machine learning. When the post-change parameters are unknown, we consider a set of detection procedures based on sequential ...
Yang Cao, Liyan Xie, Yao Xie, Huan Xu
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Where to Go on Your Next Trip? Optimizing Travel Destinations Based on User Preferences [PDF]
, 2015 Recommendation based on user preferences is a common task for e-commerce websites. New recommendation algorithms are often evaluated by offline comparison to baseline algorithms such as recommending random or the most popular items.
Bernardi, Lucas +8 more
core +5 more sources
A Review and Characterization of Progressive Visual Analytics
Informatics, 2018 Progressive Visual Analytics (PVA) has gained increasing attention over the past years. It brings the user into the loop during otherwise long-running and non-transparent computations by producing intermediate partial results.
Marco Angelini +3 more
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Converting Online Algorithms to Local Computation Algorithms [PDF]
, 2012 We propose a general method for converting online algorithms to local computation algorithms by selecting a random permutation of the input, and simulating running the online algorithm. We bound the number of steps of the algorithm using a query tree, which models the dependencies between queries.
Mansour, Yishay +3 more
openaire +2 more sources
Uniform Page Migration Problem in Euclidean Space
Algorithms, 2016 The page migration problem in Euclidean space is revisited. In this problem, online requests occur at any location to access a single page located at a server.
Amanj Khorramian, Akira Matsubayashi
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Special Issue “1st Online Conference on Algorithms (IOCA2021)”
Algorithms, 2022 This Special Issue of Algorithms is dedicated to the 1st Online Conference on Algorithms (IOCA 2021), which was held completely online from 27 September to 10 October 2021 [...]
Frank Werner
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Machine Learning Methods for Attack Detection in the Smart Grid [PDF]
, 2015 Attack detection problems in the smart grid are posed as statistical learning problems for different attack scenarios in which the measurements are observed in batch or online settings.
Esnaola, Inaki +4 more
core +2 more sources
Adaptive Online Learning for the Autoregressive Integrated Moving Average Models
Mathematics, 2021 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 setting of ...
Weijia Shao +3 more
doaj +1 more source
IEEE Access, 2019 Currently, Storage-as-a-Service (StaaS) clouds offer multiple data storage and access pricing options which usually consist of hot and cold tiers. The cold tier storage option offers a lower storage price while the hot tier storage option offers a lower ...
Mingyu Liu, Li Pan, Shijun Liu
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An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection [PDF]
Informatică economică, 2019 Today illegal activities regarding online financial transactions have become increasingly complex and borderless, resulting in huge financial losses for both sides, customers and organizations.
Elena-Adriana MINASTIREANU +1 more
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