Results 1 to 10 of about 389,689 (283)
From conformal to probabilistic prediction [PDF]
, 2014 This paper proposes a new method of probabilistic prediction, which is based on conformal prediction. The method is applied to the standard USPS data set and gives encouraging results.Comment: 12 pages, 2 ...
Fedorova, Valentina +2 more
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Semantic Probabilistic Inference of Predictions
Известия Иркутского государственного университета: Серия "Математика", 2017 Prediction is one of the most important concepts in science. Predictions obtained from probabilistic knowledge, are described by an inductive-statistical inference (I-S inference).
E. E. Vityaev
doaj +3 more sources
Optimized decomposition and deep learning with bias correction for reliable runoff point-interval prediction [PDF]
Scientific ReportsAccurate runoff prediction is critical for flood risk management and water resources regulation. This study proposes a probabilistic runoff forecasting framework that integrates optimized signal decomposition, deep learning, bias correction, and ...
Hong Ma +4 more
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Interpretable wind power probabilistic prediction based on NGBoost
Zhejiang dianli, 2023 To realize the probabilistic prediction of wind power and analyze the influencing factors of the prediction results， this paper proposes a probabilistic prediction method of wind power based on natural gradient boosting （NGBoost） and takes account of ...
LI Bingsheng +2 more
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A probabilistic track model for tropical cyclone risk assessment using multitask learning
Frontiers in Energy Research, 2023 Tropical cyclone (TC) track forecasting is critical for wind risk assessment. This work proposes a novel probabilistic TC track forecasting model based on mixture density network (MDN) and multitask learning (MTL).
Zhou Jian, Xuan Liu, Tianyang Zhao
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A Novel Hybrid Machine Learning Model for Wind Speed Probabilistic Forecasting
Energies, 2022 Accurately capturing wind speed fluctuations and quantifying the uncertainties has important implications for energy planning and management. This paper proposes a novel hybrid machine learning model to solve the problem of probabilistic prediction of ...
Guanjun Liu +4 more
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Zhongguo dianli, 2023 Probabilistic prediction of offshore wind power is not high in accuracy due to the predetermined threshold limitation of the traditional feature correlation method and the magnitude difference of the quantile loss in each quantile loss.
Xiangjing SU +5 more
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Probabilistic Prediction of Separation Buffer to Compensate for the Closing Effect on Final Approach
Aerospace, 2021 The air traffic is mainly divided into en-route flight segments, arrival and departure segments inside the terminal maneuvering area, and ground operations at the airport.
Stanley Förster +2 more
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Learning probabilistic prediction functions [PDF]
[Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science, 1988 The question of how to learn rules, when those rules make probabilistic statements about the future, is considered. Issues are discussed that arise when attempting to determine what a good prediction function is, when those prediction functions make probabilistic assumptions. Learning has at least two purposes: to enable the learner to make predictions
A. Desantis, G. Markowski, M. Wegman
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Probabilistic Predictions with Federated Learning [PDF]
Entropy, 2020 Probabilistic predictions with machine learning are important in many applications. These are commonly done with Bayesian learning algorithms. However, Bayesian learning methods are computationally expensive in comparison with non-Bayesian methods. Furthermore, the data used to train these algorithms are often distributed over a large group of end ...
Adam Thor Thorgeirsson, Frank Gauterin
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