Results 11 to 20 of about 2,291,111 (185)
PLOS ONE, 2020 Biological network alignment (NA) aims to find a node mapping between species' molecular networks that uncovers similar network regions, thus allowing for transfer of functional knowledge between the aligned nodes. However, current NA methods do not end up aligning functionally related nodes.
Shawn Gu, Tijana Milenković
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Data-driven robust optimization [PDF]
Mathematical Programming, 2017 38 pages, 15 page appendix, 7 figures.
Dimitris Bertsimas +2 more
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Data‐driven computing in dynamics [PDF]
International Journal for Numerical Methods in Engineering, 2017 SummaryWe formulate extensions to data‐riven computing for both distance‐minimizing and entropy‐maximizing schemes to incorporate time integration. Previous works focused on formulating both types of solvers in the presence of static equilibrium constraints.
T. Kirchdoerfer, M. Ortiz
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Data driven ontology evaluation [PDF]
, 2004 The evaluation of ontologies is vital for the growth of the Semantic Web. We consider a number of problems in evaluating a knowledge artifact like an ontology. We propose in this paper that one approach to ontology evaluation should be corpus or data driven. A corpus is the most accessible form of knowledge and its use allows a measure to be derived of
Brewster, Christopher +3 more
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BMC Research Notes, 2023 Objective A small electrocardiograph and Holter electrocardiograph can record an electrocardiogram for 24 h or more. We examined whether gender could be verified from such an electrocardiogram and, if possible, how accurate it would be.
Itaru Kaneko, Junichiro Hayano, Emi Yuda
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EMBO reports, 2012 Omics technologies and the large data sets they produce do not undermine hypothesis‐driven research. Rather, they help scientists formulate better and more relevant hypotheses to be put to the test.
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Data-driven trajectory smoothing [PDF]
Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2011 Motivated by the increasing availability of large collections of noisy GPS traces, we present a new data-driven framework for smoothing trajectory data. The framework, which can be viewed of as a generalization of the classical moving average technique, naturally leads to efficient algorithms for various smoothing objectives.
Chazal, Frédéric +4 more
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Data Driven Discovery in Astrophysics [PDF]
, 2014 We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data rates, and an ever ...
Brescia, M. +4 more
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A computational approach to analyzing climate strategies of cities pledging net zero
npj Urban Sustainability, 2022 Cities have become primary actors on climate change and are increasingly setting goals aimed at net-zero emissions, which warrants closer examination to understand how they intend to meet these goals.
Siddharth Sachdeva +3 more
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Data-Driven Grasp Synthesis - A Survey [PDF]
, 2016 We review the work on data-driven grasp synthesis and the methodologies for sampling and ranking candidate grasps. We divide the approaches into three groups based on whether they synthesize grasps for known, familiar or unknown objects.
Asfour, Tamim +3 more
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