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Design of Complex Systems in the presence of Large Uncertainties: a statistical approach

Koutsourelakis, P - 2008

computationally intractable. The present paper advocates the use of statistical learning in order to perform these tasks for any …

Persistent link: https://www.econbiz.de/10009436326

Creating ensembles of decision trees through sampling

Kamath, C; Cantu-Paz, E - 2008

Recent work in classification indicates that significant improvements in accuracy can be obtained by growing an ensemble of classifiers and having them vote for the most popular class. This paper focuses on ensembles of decision trees that are created with a randomized procedure based on...

Persistent link: https://www.econbiz.de/10009436847

Robots and computers enhance us more than they replace us

Diamond, Arthur M. - In: The American economist : journal of the International … 65 (2020) 1, pp. 4-10

Persistent link: https://www.econbiz.de/10012167338

Cultural differences in people's reactions and applications of robots, algorithms, and artificial intelligence

Yam, Kai Chi; Tan, Tiffany; Jackson, Joshua; Shariff, … - In: Management and organization review : MOR ; the official … 19 (2023) 5, pp. 859-875

Persistent link: https://www.econbiz.de/10014436511

Automation, robots, and algorithms will drive the next stage of digital disruption

Pankewitz, Chad - In: Phantom ex machina : digital disruption's role in …, (pp. 185-196). 2017

Persistent link: https://www.econbiz.de/10012163497

Novel Financial Applications of Machine Learning and Deep Learning : Algorithms, Product Modeling, and Applications

Abedin, Mohammad Zoynul (ed.); Hájek, Petr (ed.) - 2023

Evidence from Africa -- Part 2: Financial Risk Prediction using Machine Learning -- 5. Using Outlier Modification Rule for … Improvement of the Performance of Classification Algorithms in the Case of Financial Data -- 6. Default Risk Prediction Based on … Support Vector Machine and Logit Support Vector Machine -- 7. Predicting Corporate Failure using Ensemble Extreme Learning …

Persistent link: https://www.econbiz.de/10014226726

Is a Cambrian Explosion coming for robotics?

Pratt, Gill A. - In: The journal of economic perspectives : EP ; a journal … 29 (2015) 3, pp. 51-60

Persistent link: https://www.econbiz.de/10011409561

The estimation of parameters in nonlinear, implicit measurement error models with experiment-wide measurements

Anderson, K.K. - 2008

Measurement error modeling is a statistical approach to the estimation of unknown model parameters which takes into account the measurement errors in all of the data. Approaches which ignore the measurement errors in so-called independent variables may yield inferior estimates of unknown model...

Persistent link: https://www.econbiz.de/10009435461

Effect of initial seed and number of samples on simple-random and Latin-Hypercube Monte Carlo probabilities (confidence interval considerations)

ROMERO,VICENTE J. - 2008

In order to devise an algorithm for autonomously terminating Monte Carlo sampling when sufficiently small and reliable confidence intervals (CI) are achieved on calculated probabilities, the behavior of CI estimators must be characterized. This knowledge is also required in comparing the...

Persistent link: https://www.econbiz.de/10009435548

Guidance document on the variance propagation requirements in DOE Order 5633. 3

Sanborn, J. - 2008

DOE facilities handling special nuclear material are required to comply with DOE Order 5633.3, which addresses various aspects of nuclear material accounting. In particular, it requires that control limits be calculated for nuclear material inventory differences. These requirements and methods...

Persistent link: https://www.econbiz.de/10009435582

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