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GALO
2019
Proceedings of the VLDB Endowment
Preserved Fulltext
GALO is a novel system that automates this process. ...
It then uses the knowledge base online to re-optimize queries queued for execution to improve performance, often quite dramatically. PVLDB Reference Format: ...
Thus, automated tools are needed for the workload debugging. ...
doi:10.14778/3352063.3352064
fatcat:kflxftkslzhvtifq24l7t4eawi
Guided Automated Learning for query workload re-Optimization
[article]
2019
arXiv
pre-print
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2019 pre-print arXiv:1901.02049v2 fatcat:cbxfp7aq6nhsbktfeqwc5gonneOther Versions
GALO is a novel system that automates this process. ...
GALO acts as a third-tier of re-optimization, after query rewrite and cost-based optimization, as a query plan rewrite. ...
There are, thus, two workflows for GALO: offline learning and online re-optimization. ...
arXiv:1901.02049v3
fatcat:qavhynsrnbasdn5mh4ttpwyine
Guided automated learning for query workload re-optimization
2019
Proceedings of the VLDB Endowment
Preserved Fulltext
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The file type is application/pdf.
GALO is a novel system that automates this process. ...
It then uses the knowledge base online to re-optimize queries often quite drastically. ...
There are, thus, two workflows for GALO: offline learning and online re-optimization. ...
doi:10.14778/3352063.3352120
fatcat:ru5iawhcrfcvle4wcvescr2lxu
Quantum Annealing Implementation of Job-Shop Scheduling
[article]
2016
arXiv
pre-print
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After formulating the problem as a time-indexed quadratic unconstrained binary optimization problem, several pre-processing and graph embedding strategies are employed to compile optimally parametrized ...
A quantum annealing solver for the renowned job-shop scheduling problem (JSP) is presented in detail. ...
amenable to scheduling problems, allowing for an efficient mapping and good performance compared to other applied problem classes like automated navigation and Bayesian-network structure learning [12 ...
arXiv:1506.08479v2
fatcat:2gm3eys7qfa2ld7ljedsafzmca
Efficient RDF Graph Storage based on Reinforcement Learning
[article]
2020
arXiv
pre-print
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To address the difficult problem, this paper adopts reinforcement learning (RL) to optimize the storage partition method of RDF graph based on the relational database. ...
We transform the graph storage into a Markov decision process, and develop the reinforcement learning algorithm for graph storage design. ...
GALO [15] proposes the method of guided automated learning for query workload re-optimization. Neo [16] proposes an endto-end query plan optimization based on machine learning. ...
arXiv:2010.11538v1
fatcat:76edszi4g5cf7lo7m3bpuuvwe4
How Could Equality and Data Protection Law Shape AI Fairness for People with Disabilities?
[article]
2021
arXiv
pre-print
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We articulate this new agenda for AI fairness for people with disabilities, explaining how combining data protection and equality law creates new opportunities for disabled people's organisations and assistive ...
This examination demonstrates that there is a need for a distinctive approach to AI fairness that is fundamentally different to that used for other protected characteristics, due to the different ways ...
The development of algorithmic hiring tools could also force e.g. employers to re-think their existing, possibly discriminatory evaluation criteria (e.g. traits like 'optimism' or 'intensity' (Centre for ...
arXiv:2107.05704v1
fatcat:rpf4rdm2nvf45i3bm5uxtqthaq
Linac-Based Free Electron Lasers
1996
Science
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Membrane Filtration Catalog presents products for microseparation and includes an applications guide. ...
for achieving optimal prevention of human inifectiouLs diseases through immunization; develop strategies for achieving optimal prevention of adverse rcactions to vaccines; and ensuLre coordination and ...
doi:10.1126/science.272.5261.467e
fatcat:5v22orwmrna7pipcduboly2jri
Oral presentations of Congressus Pharmaceuticus Hungaricus XVI
2020
Acta pharmaceutica Hungarica
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AT. et al., Pharmaceut Res 2016; 33:1817 -1832 2 Liska, R, et al., J. Coat Tech Res 2007; 4:505-510 Challenges for the next quarter century. ...
providers can learn from errors to improve medication safety. ...
With the involvement of hospital and clinical pharmacists in the dispensing of biological therapeutic medications, there is a greater chance of for the optimization of these therapies. ...
doi:10.33892/aph.2020.90.41-84
fatcat:f4aeb7ijnrdjjih4l65uossygy
Deliverable 3.6 HIKR technical guidelines
2022
Zenodo
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FACILITERING AF JERES MA-PROCESSER Brug af en facilitator til at støtte konsortiet såvel som engagementet af brugere anvendes for at gøre tingene nemmere for TN'er. ...
Facilitatorer skal vaere fleksible og åbne for at kunne lykkes med at facilitere et TN. ...
The Explorer's Guide provides a support framework to learn from previous TNs, reflect and implement the most relevant elements of the process for a specific project. ...
doi:10.5281/zenodo.5830860
fatcat:bilmxsg5s5b55eird4jqh5bblq
Are women with breast cancer receiving sufficient education and information about their treatment?
2007
Nature Clinical Practice Oncology
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re-design including group visits. ...
Glasgow RE et al. Diabetes-specific social learning variables and self care
behaviors among persons with type II diabetes.Health Psychology, 1989,
8:285-303.
31. Orme CM, Binik YM. ...
Intended for health managers, policy-makers and clinical practitioners this report provides a concise summary of the consequences of poor adherence for health and economics. ...
doi:10.1038/ncponc1020
pmid:18073721
fatcat:3qsequlgcjd67nenzjrquscl4m
Satisfacción del estudiante de obstetricia con el uso de canales de videos como método de apoyo en el proceso de aprendizaje
2017
Zenodo
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For this, we designed and implemented a system of evaluation of learning based on the taxonomy SOLO. ...
environments, adaptive learning systems and learning analysis. ...
doi:10.5281/zenodo.3772173
fatcat:yxsqhhv25fe6jjmzixnx4k47ne
Satisfacción del estudiante de obstetricia con el uso de canales de videos como método de apoyo en el proceso de aprendizaje
2017
Zenodo
Preserved Fulltext
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The file type is application/pdf.
For this, we designed and implemented a system of evaluation of learning based on the taxonomy SOLO. ...
environments, adaptive learning systems and learning analysis. ...
doi:10.5281/zenodo.3783443
fatcat:kihqx6tbsrgmrkeh3eqwktlvku
SCAI-ACCi2 Interventional E-Abstracts
2008
Journal of the American College of Cardiology
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The optimal cutoff values to predict residual viable myocardium was 2.1 for MVR index (sensitivity=0.81 and specificity=0.78). ...
Conclusions: LRP, which provides a poor substrate for re-endothelialization of a coronary stent, is frequently encountered 10 or more mm from the center of a stenotic lesion. ...
Treating drug-eluting stent restenosis in the real-world:Lessons learned from the DESIRE RegistryJose de Ribamar Costa, Jr., Amanda Sousa, Adriana Moreira, Ricardo Costa, Galo Maldonado, Manuel Cano, Ibraim ...
doi:10.1016/j.jacc.2008.02.020
fatcat:mylgtu463zf7hnbeq2lgtg7sne
SCAI-ACCi2 Interventional E-Abstracts
2008
JACC: Cardiovascular Interventions
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All were optimally medically treated and taking statins. Patients with diabetes were excluded. ...
Simultaneous intracoronary distal pressure (Pd) and averaged peak velocity (APV), measured by Volcano® guide-wire, and central venous pressure (CVP) were recorded during successive low pressure balloon ...
Treating drug-eluting stent restenosis in the real-world:Lessons learned from the DESIRE RegistryJose de Ribamar Costa, Jr., Amanda Sousa, Adriana Moreira, Ricardo Costa, Galo Maldonado, Manuel Cano, Ibraim ...
doi:10.1016/j.jcin.2008.03.005
fatcat:rv6nwbxg7vfvdbirg7ttzmvetm
OpenEO - a Common, Open Source Interface Between Earth Observation Data Infrastructures and Front-End Applications
2017
Zenodo
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automated forest change monitoring. ...
as a map for the region, trends for a particular location or average, possibly aggregating multiple indicators for this the automated process of several use cases with a focus on Copernicus data 2. testing ...
doi:10.5281/zenodo.1065474
fatcat:4o6i7dcrxbcpbajptrvrssl5gi
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