Results 11 to 20 of about 12,377,055 (66)
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models [PDF]
International Conference on Learning Representations, 2022 Chain-of-thought prompting has demonstrated remarkable performance on various natural language reasoning tasks. However, it tends to perform poorly on tasks which requires solving problems harder than the exemplars shown in the prompts.
Denny Zhou +9 more
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Physics-informed neural networks (PINNs) for fluid mechanics: a review [PDF]
Acta Mechanica Sinica, 2021 Despite the significant progress over the last 50 years in simulating flow problems using numerical discretization of the Navier–Stokes equations (NSE), we still cannot incorporate seamlessly noisy data into existing algorithms, mesh-generation is ...
Shengze Cai +4 more
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A Decision Method for Elementary Algebra and Geometry
, 2023 By a decision method for a class K of sentence (or other expressions) is meant a method by means of which, given any sentence θ, one can always decide in a finite number of steps whether θ is in K; by a decision problem for a class K we mean the problem ...
A. Tarski
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Computational Optimal Transport [PDF]
Found. Trends Mach. Learn., 2018 Optimal transport (OT) theory can be informally described using the words of the French mathematician Gaspard Monge (1746-1818): A worker with a shovel in hand has to move a large pile of sand lying on a construction site.
G. Peyré, Marco Cuturi
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Oppfølging av legemiddelbehandling hos eldre – et spørsmål om kompetanse
Tidsskrift for Omsorgsforskning, 2017 Eldre som mottar hjemmesykepleie eller bor i sykehjem, har et stort behov for oppfølging av helsetilstanden, fordi de har mange sykdommer og bruker mange legemidler.
Kristin Jeppestøl
doaj +1 more source
Fractional Programming for Communication Systems—Part I: Power Control and Beamforming [PDF]
IEEE Transactions on Signal Processing, 2018 Fractional programming (FP) refers to a family of optimization problems that involve ratio term(s). This two-part paper explores the use of FP in the design and optimization of communication systems.
Kaiming Shen, Wei Yu
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Wiley Encyclopedia of Computer Science and Engineering, 2018 Dynamic programming is one of the most fundamental building blocks of modern macroeconomics. It gives us the tools and techniques to analyse (usually numerically but often analytically) a whole class of models in which the problems faced by economic ...
R. Oka, Aizu Wakamatsu
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Legemiddelinteraksjoner hos sykehuspasienter – forekomst og klinisk betydning
, 2009 Legemiddelinteraksjoner er viktig a identifisere fordi de kan gi bade bivirkninger og endret medikamenteffekt, samt medfore sykelighet og dod. Malet med studien var a undersoke forekomsten av legemiddelinteraksjoner hos sykehuspasienter, samt a vurdere ...
Hege Salvesen Blix +2 more
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Journal of Computational Physics, 2019 We introduce physics-informed neural networks – neural networks that are trained to solve supervised learning tasks while respecting any given laws of physics described by general nonlinear partial differential equations.
M. Raissi, P. Perdikaris, G. Karniadakis
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Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
Science, 2020 Machine-learning fluid flow Quantifying fluid flow is relevant to disciplines ranging from geophysics to medicine. Flow can be experimentally visualized using, for example, smoke or contrast agents, but extracting velocity and pressure fields from this ...
M. Raissi, A. Yazdani, G. Karniadakis
semanticscholar +1 more source