Results 81 to 90 of about 18,593,943 (305)
Computing continuous dynamic time warping of time series in polynomial time
Journal of Computational GeometryDynamic Time Warping is arguably the most popular similarity measure for time series, where we define a time series to be a one-dimensional polygonal curve.
Kevin Buchin +2 more
doaj +1 more source
Continuous Time Matrix Programming
Journal of Mathematical Analysis and Applications, 1993 Duality and saddlepoint conditions are considered for the following pair of problems: \[ \max\int^ T_ 0 A(t)X(t)dt\qquad\text{subject to}\tag{P} \] \[ B(t)X(t)\leq C(t)+\int^ t_ 0 K(t,s)X(t)ds\quad\text{a.e. in }[0,T],\quad X(t)\geq 0\quad\text{a.e.
Singh, C., Kiran, M.
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From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
On Gaussian covert communication in continuous time
EURASIP Journal on Wireless Communications and Networking, 2019 The paper studies covert communication over a continuous-time Gaussian channel. The covertness condition requires that the channel output must statistically resemble pure noise.
Ligong Wang
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Neural Networks and Continuous Time
CoRR, 2016 16 pages, 10 figures.
Frieder Stolzenburg, Florian Ruh
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Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Forecasting volatility: does continuous time do better than discrete time? [PDF]
In this paper we compare the forecast performance of continuous and discrete-time volatility models. In discrete time, we consider more than ten GARCH-type models and an asymmetric autoregressive stochastic volatility model.
Carles Bretó, Helena Veiga
core
The Church Synthesis Problem over Continuous Time [PDF]
Logical Methods in Computer ScienceThe Church Problem asks for the construction of a procedure which, given a logical specification A(I,O) between input omega-strings I and output omega-strings O, determines whether there exists an operator F that implements the specification in the sense
Alexander Rabinovich, Daniel Fattal
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Continuous-time mean-variance portfolios: a comparison
, 2013 In this article, we present and compare three mean-variance optimal portfolio approaches in a continuous-time market setting. These methods are the L-2-projection as presented in Schweizer [M.
Alp, Ozge Sezgin, Korn, Ralf
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