نتایج جستجو برای: adaptive policies

تعداد نتایج: 318543  

Journal: :ACM SIGMETRICS Performance Evaluation Review 2009

Journal: :Biostatistics 2010
Niels Keiding

In a recent editorial in Biostatistics, Peng (2009) introduced a system for making data and computer code from papers in the journal publicly available so that other researchers can reproduce the statistical analyses in the paper. The editors explain in a short accompanying note (Diggle and Zeger, 2009) that ‘we wish to encourage the practice of making research published in the journal reproduc...

Journal: :J. Parallel Distrib. Comput. 1997
Vijay K. Naik Sanjeev Setia Mark S. Squillante

In this paper, we examine three general classes of space-sharing scheduling policies under a workload representative of large-scale scientific computing. These policies differ in the way processors are partitioned among the jobs as well as in the way jobs are prioritized for execution on the partitions. We consider new static, adaptive and dynamic policies that differ from previously proposed p...

2004
Laura Bright Avigdor Gal Louiqa Raschid

An important challenge to e ective data delivery in wide area environments is maintaining the data freshness of objects using solutions that can scale to a large number of clients without incurring signi cant server overhead. Policies for maintaining data freshness are traditionally either push-based or pull-based. Push-based policies involve pushing data updates by servers; they may not scale ...

Journal: :International journal of health policy and management 2015
Gemma Carey Brad Crammond Eleanor Malbon Nic Carey

Inequalities in the social determinants of health (SDH), which drive avoidable health disparities between different individuals or groups, is a major concern for a number of international organisations, including the World Health Organization (WHO). Despite this, the pathways to changing inequalities in the SDH remain elusive. The methodologies and concepts within system science are now viewed ...

Journal: :CoRR 2009
Kian Hsiang Low John M. Dolan Pradeep K. Khosla

Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a sequential decision-theoretic planning under uncertainty framework called MASP. The time complexity of solving MASP approximately depends on the map resolution, which limits its use in large-scale, high-resolution explor...

2015
Srećko Gajović

Like Archimedes who demanded a place to stand so that he could move the Earth, scientific journals also need a firm point to stand on. We use this example because it stresses the importance of determining the journal’s specific research field by editorial policies. One of the basic strategies for medical journals is to define their scope, which helps them to target specific readership, attract ...

1998
Larry G. Daniel

Statistical significance tests (SSTs) have been the object of much controversy among social scientists. Proponents have hailed SSTs as an objective means for minimizing the likelihood that chance factors have contributed to research results; critics have both questioned the logic underlying SSTs and bemoaned the widespread misapplication and misinterpretation of the results of these tests. The ...

1999
Fred Douglis Tom Killian

Internet Service Providers sometimes go to great lengths to minimize dial-up connection times, in order to make the best use of limited resources. Typically they disconnect users after a xed period of complete inactivity, such as 10{15minutes. We propose adaptive time-out policies that take past history into account, and we evaluate some of these policies using a trace from a production environ...

2008
Peter I. Frazier Warren B. Powell

We consider adaptive sequential sampling policies in a Bayesian framework. Under the assumptions that the sampling distribution is from an exponential family and that the number of distinct measurement types is finite, we give sufficient conditions for an adaptive sampling policy to achieve asymptotic optimality. Here, asymptotic optimality is understood to mean that the limit of the expected l...

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