Results 11 to 20 of about 389,689 (283)

Statistical learning and probabilistic prediction in music cognition: mechanisms of stylistic enculturation. [PDF]

Ann N Y Acad Sci, 2018
Pearce MT.
europepmc   +2 more sources

Earthquake prediction: probabilistic aspect [PDF]

Geophysical Journal International, 2008
21 pages, 1 ...
Molchan, G., Keilis-Borok, V.
openaire   +2 more sources

Probabilistic Prediction Model Using Bayesian Inference in Climate Field: A Systematic Literature

JTAM (Jurnal Teori dan Aplikasi Matematika), 2023
Wildfires occur repeatedly every year and have a negative impact on natural ecosystems. Anticipation of wildfires is very necessary, therefore a prediction model is needed that can produce predictions with a good level of accuracy.
Evi Ardiyani, Sri Nurdiati, Ardhasena Sopaheluwakan, Mohamad Khoirun Najib, Fadillah Rohimahastuti   +4 more
doaj   +1 more source

Temporal aspects of probabilistic predictions [PDF]

Bulletin of the Psychonomic Society, 1987
Subjects who considered themselves to be experts made probability assessments regarding the outcomes of 108 soccer games. The mean number of correct predictions was less than that obtained by a linear model using type of game (home vs. outside games) and teams’ rankings as predictors.
Keren, G.B., Wagenaar, W.A.
openaire   +2 more sources

PSYCHOLOGICAL MECHANISMS OF COGNITIVE SUBJECTIVITY DEVELOPMENT

Russian Journal of Education and Psychology, 2023
Relevance. The problem of the development of a personality subsystem associated with cognitive subjectivity, as well as the formation of a future officer as a subject of social and cognitive action, as a meaningful ability for self-determination and ...
Aleksey A. Dyachkov
doaj   +1 more source

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   +1 more source

Valid Probabilistic Predictions for Ginseng with Venn Machines Using Electronic Nose

Sensors, 2016
In the application of electronic noses (E-noses), probabilistic prediction is a good way to estimate how confident we are about our prediction. In this work, a homemade E-nose system embedded with 16 metal-oxide semi-conductive gas sensors was used to ...
You Wang, Jiacheng Miao, Xiaofeng Lyu, Linfeng Liu, Zhiyuan Luo, Guang Li   +5 more
doaj   +1 more source

Probabilistic Shear Strength Prediction for Deep Beams Based on Bayesian-Optimized Data-Driven Approach

Buildings, 2023
To ensure the safety of buildings, accurate and robust prediction of a reinforced concrete deep beam’s shear capacity is necessary to avoid unpredictable accidents caused by brittle failure.
Mao-Yi Liu, Zheng Li, Hang Zhang
doaj   +1 more source

Criteria of efficiency for conformal prediction [PDF]

, 2016
We study optimal conformity measures for various criteria of efficiency of classification in an idealised setting. This leads to an important class of criteria of efficiency that we call probabilistic; it turns out that the most standard criteria of ...
AP Dawid, C Saunders, EL Lehmann, H Papadopoulos, J Lei, J Lei, J Smith, T Gneiting, T Melluish, U Johansson, V Fedorova, V Vovk, V Vovk, Y Cun Le   +13 more
core   +2 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   +1 more source