Results 41 to 50 of about 649,224 (361)

Sea surface height super-resolution using high-resolution sea surface temperature with a subpixel convolutional residual network

open access: yesEnvironmental Data Science, 2022
The oceans have a very important role in climate regulation due to their massive heat storage capacity. Thus, for the past decades, oceans have been observed by satellites to better understand their dynamics. Satellites retrieve several data with various
Théo Archambault   +4 more
doaj   +1 more source

Review of research into urban experimentation in the fields of sustainability transitions and environmental governance

open access: yesEuropean Planning Studies, 2022
In recent years, scholars from diverse research communities have become greatly interested in the experimental turn within the social sciences and economics.
F. Ehnert
semanticscholar   +1 more source

Toward Machine Learning-Enhanced High-Throughput Experimentation

open access: yesTrends in Chemistry, 2021
Recent literature suggests that the fields of machine learning (ML) and high-throughput experimentation (HTE) have separately received considerable attention from chemists and engineers, leading to the development of powerful reactivity models and ...
Natalie S. Eyke   +2 more
semanticscholar   +1 more source

Declarative Experimentation in Information Retrieval using PyTerrier [PDF]

open access: yesInternational Conference on the Theory of Information Retrieval, 2020
The advent of deep machine learning platforms such as Tensorflow and Pytorch, developed in expressive high-level languages such as Python, have allowed more expressive representations of deep neural network architectures.
Craig Macdonald, N. Tonellotto
semanticscholar   +1 more source

Strategic Experimentation with Private Payoffs [PDF]

open access: yes, 2012
We consider two players facing identical discrete-time bandit problems with a safe and a risky arm. In any period, the risky arm yields either a success or a failure, and the first success reveals the risky arm to dominate the safe one.
Heidhues, Paul   +2 more
core   +1 more source

Adaptive Bayesian Learning and Forecasting of Epidemic Evolution—Data Analysis of the COVID-19 Outbreak

open access: yesIEEE Access, 2020
Since the beginning of 2020, the outbreak of a new strain of Coronavirus has caused hundreds of thousands of deaths and put under heavy pressure the world's most advanced healthcare systems. In order to slow down the spread of the disease, known as COVID-
Domenico Gaglione   +7 more
doaj   +1 more source

Experimenter Demand Effects and Altruism Towards the Experimenter [PDF]

open access: yesSSRN Electronic Journal, 2013
As a stress test of experimenter demand effects, we run an experiment where subjects can physically destroy coupons awarded to them. About one subject out of three does. Giving money back to the experimenter is possible in a separate task but is more consistent with an experimenter demand effect than an explanation based on altruism towards the ...
Fleming, Piers, Zizzo, Daniel John
openaire   +4 more sources

Numerical Simulation and Parametric Study of a Solar HDH Desalination System (Closed-Air / Open-Water Configuration) [PDF]

open access: yesEPJ Web of Conferences
This study presents a strengthened numerical modeling and parametric analysis of a solar-driven humidification–dehumidification (HDH) desalination system operating in a closed-air/open-water configuration.
Benindalsi Ghita   +2 more
doaj   +1 more source

Experimental and Quasi-Experimental Research in CSCL

open access: yes, 2021
(Quasi-)experimental designs play an important role in CSCL research. By actively manipulating one or several independent variables while keeping other influencing factors constant and through the use of randomization, they allow to determine the causal effects of such independent variables on one or more dependent variable(s) that may be of interest ...
Janssen, Jeroen, Kollar, Ingo
openaire   +1 more source

Strategic Experimentation: a Revision [PDF]

open access: yesSSRN Electronic Journal, 1997
This paper extends the classic two-armed bandit problem to a many-agent setting in which I players each face the same experi- mentation problem.The main change from the single-agent prob- lem is that an agent can now learn from the current experimentation of other agents.Information is therefore a public good, and a free- rider problem in ...
Bolton, P., Harris, C.
openaire   +4 more sources

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