Results 1 to 10 of about 2,032,077 (205)

Multi-Output Probabilistic Prediction of Drug Side Effects Using Classical Machine Learning Algorithms [PDF]

Pharmaceuticals
Introduction: Drug side effects are a relevant problem for patient safety and public health, and traditional methods have limitations in capturing complex patterns between clinical and pharmacological variables.
Diego Quiguango Farias, Juan Sarasti Espejo, Marlene Arce Salcedo, Byron Velasquez Ron   +3 more
doaj   +2 more sources

Probabilistic prediction by means of the propagation of response variable uncertainty through a Monte Carlo approach in regression random forest: Application to soil moisture regionalization

Frontiers in Environmental Science, 2023
Probabilistic predictions aim to produce a prediction interval with probabilities associated with each possible outcome instead of a single value for each outcome.
Ségolène Dega, Peter Dietrich, Peter Dietrich, Martin Schrön, Hendrik Paasche   +4 more
doaj   +3 more sources

Probabilistic Flight Delay Predictions Using Machine Learning and Applications to the Flight-to-Gate Assignment Problem

Aerospace, 2021
The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the ...
Micha Zoutendijk, Mihaela Mitici
doaj   +3 more sources

Probabilistic Prediction of Energy Demand and Driving Range for Electric Vehicles With Federated Learning

IEEE Open Journal of Vehicular Technology, 2021
Today's drivers of battery electric vehicles must deal with limited driving range in a sparse charging infrastructure. An accurate prediction of energy demand and driving range is therefore important and enables reliable routing and charge ...
Adam Thor Thorgeirsson, Stefan Scheubner, Sebastian Funfgeld, Frank Gauterin   +3 more
doaj   +3 more sources

Evidence for early and late prediction error-associated ERP responses during probabilistic cueing [PDF]

iScience
Summary: Probabilistic relationships are omnipresent in our sensory environment. According to some predictive coding models, the processing of deviations from expectation should be accompanied by enhanced neuronal responses, reflecting a prediction error,
Insa Schlossmacher, Alena Schlotmann, Sebastian Schindler, Robert Moeck, Thomas Straube   +4 more
doaj   +2 more sources

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, PANG Chuanjun, CHENG Dachuang   +2 more
doaj   +1 more source

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
doaj   +1 more source

Probabilistic Forecasting of Offshore Wind Power Based on Dual-stage Attentional LSTM and Joint Quantile Loss Function

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, Haibo YU, Yang FU, Shuxin TIAN, Haiyu LI, Fuhai GENG   +5 more
doaj   +1 more source

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, Michael Schultz, Hartmut Fricke   +2 more
doaj   +1 more source

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, Chao Wang, Hui Qin, Jialong Fu, Qin Shen   +4 more
doaj   +1 more source