Results 11 to 20 of about 2,534,918 (292)
Gaussian process model based predictive control [PDF]
, 2004 Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
Rasmussen, C.E. +3 more
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Explain and Predict, and then Predict Again [PDF]
Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021 Accepted in the WSDM ...
Zijian Zhang 0006 +2 more
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Predicting Bond Return Predictability [PDF]
SSRN Electronic Journal, 2020 This paper provides empirical evidence on predictable time variations in out-of-sample bond return predictability. Bond return predictability is associated with periods of high (low) economic activity (uncertainty), which implies that violations of the expectations hypothesis are state dependent and linked to features of the business cycle. These state
Daniel Borup +3 more
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Prediction of Overoptimistic Predictions [PDF]
Electronic Workshops in Computing, 2006 Overoptimistic predictions are common in software engineering projects, e.g., the average software project cost overrun is about 30%. This paper examines the use of two popular general tests of optimism (the ASQ and the LOT-R test) to select software engineers that are less likely to provide overoptimistic predictions.
Magne Jørgensen, Bjørn Faugli
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Model predictive control design for industrial applications [PDF]
, 2006 In many industrial processes, the regulatory level based on PID controllers is able to maintain the process variables about the given set point values. However, economic reasons and operational constraints make it necessary to optimise plant operations ...
Balbis, L., Ordys, A.W., Kateb, R.
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Predicting the accuracy of genomic predictions [PDF]
Genetics Selection Evolution, 2021 Abstract Background Mathematical models are needed for the design of breeding programs using genomic prediction. While deterministic models for selection on pedigree-based estimates of breeding values (PEBV) are available, these have not been fully developed for genomic selection, with a key missing component being the ...
Dekkers, Jack C. M. +2 more
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Non-linear predictive control for manufacturing and robotic applications [PDF]
, 2001 The paper discusses predictive control algorithms in the context of applications to robotics and manufacturing systems. Special features of such systems, as compared to traditional process control applications, require that the algorithms are capable of ...
Grimble, M.J., Ordys, A.W.
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Learning Predictions for Algorithms with Predictions
Advances in Neural Information Processing Systems 35, 2022 NeurIPS 2022 camera ...
Mikhail Khodak +3 more
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Predictive pole-placement control with linear models [PDF]
, 2002 The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation-based model-predictive formulation. This provides an alternative to model-predictive controllers
Ronco, E., Gawthrop, P.J.
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Predictions on Predictions [PDF]
Computer, 2019 Predictions are the opposite of hindsight. In a world with a continuous bombardment of new information, it is easy to lose the perspective of where events and technologies are headed. I was asked to write my opinion on the predictions in the seven articles in this issue that discuss where computer technology might be headed.
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