doi.org/10.7717%2Fpeerj-cs.93
Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting tool to ra…
doi.org/10.1109%2FTRO.2016.2624754
Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a model of the environment (the map), and the estimation of the state of the robot moving within it. The SLAM community has made astonishing progress over the last 30 years…
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"Don't be fooled. Everything has changed for the global economy." Tariffs, geopolitics and AI are all impacting our economies in ways we might not yet be feeling, says Harvard economist Gita Gopinath. The former IMF chief economist tells Radio Davos why "the w…
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centres.weforum.org/centre-for-the-fourth-industrial-revolution
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Professional Athletes Foundation. 334 likes. Since 1990, the PAF has been supporting former players in their time of need through grants, resources and...
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Betty Lin-Fisher, USA Today national consumer reporter. 1,428 likes. National consumer reporter for USA Today. Former Akron Beacon Journal reporter,...
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Trevor Hughes. 2,786 likes · 378 talking about this. Denver-based reporter for USA TODAY. Former Vermonter, enthusiastic eater. Prefers being outdoors.
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When a legendary global entertainment company joins forces with the planet’s biggest online betting technology company, the gaming world sits up and takes notice.
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doi.org/10.1214%2Faos%2F1176344123
The history of mathematical statistics in the United States prior to 1885 is reviewed, with emphasis upon the works of Robert Adrain, Benjamin and Charles Peirce, Simon Newcomb, and Erastus De Forest. While the period before 1850 produced little of substance,…
books.google.com/books?id=iKmnEAAAQBAJ&dq=normal+distribution&pg=PA120
This original and innovative textbook takes the unique perspective of introducing and solving problems in quantum mechanics using linear algebra methods, to equip readers with a deeper and more practical understanding of this fundamental pillar of contemporary…
doi.org/10.1007%2Fs10479-019-03373-1
Conditional value-at-risk (CVaR) and value-at-risk, also called the superquantile and quantile, are frequently used to characterize the tails of probability distributions and are popular measures of risk in applications where the distribution represents the ma…
mathworld.wolfram.com/NormalDistributionFunction.html
A normalized form of the cumulative normal distribution function giving the probability that a variate assumes a value in the range [0,x], Phi(x)=Q(x)=1/(sqrt(2pi))int_0^xe^(-t^2/2)dt. (1) It is related to the probability integral alpha(x)=1/(sqrt(2pi))int_(-x…