Results 31 to 40 of about 5,014,003 (396)
Defining adaptation in a generic multi layer model : CAM: the GRAPPLE conceptual adaptation model [PDF]
, 2008 Authoring of Adaptive Hypermedia is a difficult and time consuming task. Reference models like LAOS and AHAM separate adaptation and content in different layers. Systems like AHA!
Bra, Paul M. E. de +4 more
core +4 more sources
On the Adaptiveness of Quicksort [PDF]
BRICS Report Series, 2004 Quicksort was first introduced in 1961 by Hoare. Many variants have been developed, the best of which are among the fastest generic sorting algorithms available, as testified by the choice of Quicksort as the default sorting algorithm in most programming libraries. Some sorting algorithms are adaptive, i.e.
Brodal, Gerth Stølting +2 more
openaire +9 more sources
Open Biology, 2021 Urp1 and Urp2 are two neuropeptides of the urotensin II family identified in teleost fish and mainly expressed in cerebrospinal fluid (CSF)-contacting neurons.
Faredin Alejevski +10 more
doaj +1 more source
Model-Driven Engineering of Self-Adaptive Software with EUREMA [PDF]
In: ACM Trans. Auton. Adapt. Syst. 8.4 (2014), 18:1-18:33, 2018 The development of self-adaptive software requires the engineering of an adaptation engine that controls the underlying adaptable software by feedback loops. The engine often describes the adaptation by runtime models representing the adaptable software and by activities such as analysis and planning that use these models. To systematically address the
arxiv +1 more source
Ideal spatial adaptation by wavelet shrinkage
, 1994 SUMMARY With ideal spatial adaptation, an oracle furnishes information about how best to adapt a spatially variable estimator, whether piecewise constant, piecewise polynomial, variable knot spline, or variable bandwidth kernel, to the unknown function ...
D. Donoho, I. Johnstone
semanticscholar +1 more source
Deep Subdomain Adaptation Network for Image Classification [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 For a target task where the labeled data are unavailable, domain adaptation can transfer a learner from a different source domain. Previous deep domain adaptation methods mainly learn a global domain shift, i.e., align the global source and target ...
Yongchun Zhu +7 more
semanticscholar +1 more source
Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning [PDF]
, 2023 Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these systems meet their goals these uncertainties have to be mitigated. One approach to realize this is self-adaptation that equips a system with a feedback loop.
arxiv +1 more source
Adaptation in Adaptation in Adaptation in Adaptation [PDF]
, 2019 This chapter offers a close analysis of Adaptation and its treatment of Darwinian themes. It uses the film to think through some issues in literary and cinematic Darwinism, prompting questions regarding evolution’s use in the humanities: what is the explanatory power of evolutionary biology, and how can we transform evolutionary thinking into ...
openaire +1 more source
How Far Are We From an Optimal, Adaptive DE? [PDF]
, 2020 We consider how an (almost) optimal parameter adaptation process for an adaptive DE might behave, and compare the behavior and performance of this approximately optimal process to that of existing, adaptive mechanisms for DE. An optimal parameter adaptation process is an useful notion for analyzing the parameter adaptation methods in adaptive DE as ...
arxiv +1 more source
Multichannel adaptive signal detection: Basic theory and literature review [PDF]
arXiv, 2021 Multichannel adaptive signal detection jointly uses the test and training data to form an adaptive detector, and then make a decision on whether a target exists or not. Remarkably, the resulting adaptive detectors usually possess the constant false alarm rate (CFAR) properties, and hence no additional CFAR processing is needed.
arxiv