Results 41 to 50 of about 30,785,448 (215)
TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes
IEEE Access, 2022 Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks.
Markus Steinbach +4 more
doaj +1 more source
Low-Rank Factorization of Determinantal Point Processes [PDF]
AAAI Conference on Artificial Intelligence, 2016 Determinantal point processes (DPPs) have garnered attention as an elegant probabilistic model of set diversity. They are useful for a number of subset selection tasks, including product recommendation.
Mike Gartrell +2 more
semanticscholar +1 more source
, 2016 We study point processes on $\mathbb S^d$, the $d$-dimensional unit sphere $\mathbb S^d$, considering both the isotropic and the anisotropic case, and focusing mostly on the spherical case $d=2$.
Møller, Jesper, Rubak, Ege
core +1 more source
Quantitative Assessment of the Trigger Effect of Proton Flux on Seismicity
EntropyAn estimate of the trigger effect of the proton flux on seismicity was obtained. The proton flux time series with a time step of 5 min, 2000–2024, was analyzed.
Alexey Lyubushin, Eugeny Rodionov
doaj +1 more source
Amplitude and phase variation of point processes [PDF]
, 2016 We develop a canonical framework for the study of the problem of registration of multiple point processes subjected to warping, known as the problem of separation of amplitude and phase variation. The amplitude variation of a real random function $\{Y(x):
Victor M. Panaretos, Y. Zemel
semanticscholar +1 more source
Deconvolution of point processes [PDF]
, 2012 The superposition of two independent point processes can be described by multiplication of their probability generating functionals (p.g.fl.s). The inverse operation, which can be viewed as a deconvolution, is defined by dividing the superposed process ...
Clark, Daniel Edward
core
Fixed point results and their applications to Markov processes
Fixed Point Theory and Applications, 2005 New existence and comparison results are proved for fixed points of increasing operators and for common fixed points of operator families in partially ordered sets.
Heikkilä S
doaj +2 more sources
Invariance properties of limiting point processes and applications to clusters of extremes
Dependence ModelingMotivated by examples from extreme value theory, but without using the theory of regularly varying time series or any assumptions about the marginal distribution, we introduce the general notion of a cluster process as a limiting point process of returns
Janßen Anja, Segers Johan
doaj +1 more source
Evaluating Approximate Point Forecasting of Count Processes
Econometrics, 2019 In forecasting count processes, practitioners often ignore the discreteness of counts and compute forecasts based on Gaussian approximations instead.
Annika Homburg +4 more
doaj +1 more source
Large-Margin Determinantal Point Processes [PDF]
, 2014 Determinantal point processes (DPPs) offer a powerful approach to modeling diversity in many applications where the goal is to select a diverse subset.
Chao, Wei-lun +3 more
core