Results 81 to 90 of about 2,032,077 (205)

Probabilistic predictability of stochastic dynamical systems

Automatica
To assess the quality of a probabilistic prediction for stochastic dynamical systems (SDSs), scoring rules assign a numerical score based on the predictive distribution and the measured state. In this paper, we propose an $ε$-logarithm score that generalizes the celebrated logarithm score by considering a neighborhood with radius $ε$.
Tao Xu, Yushan Li 0001, Jianping He 0001
openaire   +2 more sources

Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors

, 2017
Prediction of drug metabolism is an important topic in the drug discovery process, and we here present a study using probabilistic predictions applying Cross Venn-ABERS Predictors (CVAPs) on data for site-of-metabolism.
Carlsson, Lars,, Spjuth, Ola,, Paulo, Toccaceli,, Arvidsson, Staffan,   +3 more
core  

Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction [PDF]

, 2015
Random forests consisting of an ensemble of regression trees with equal weights are frequently used for design of predictive models. In this article, we consider an extension of the methodology by representing the regression trees in the form of ...
Ranadip Pal, Gosh, Souparno, Souparno Ghosh, Haider, Saad, Saad Haider, Pal, Ranadip, Raziur Rahman, Ghosh, Souparno, Rahman, Raziur   +8 more
core   +1 more source

Hex: dynamics and probabilistic text entry [PDF]

, 2005
We present a gestural interface for entering text on a mobile device via continuous movements, with control based on feedback from a probabilistic language model.
Murray-Smith, R., Williamson, J.
core   +3 more sources

Probabilistic State of Health Prediction for Lithium-Ion Batteries Based on Incremental Capacity and Differential Voltage Curves

Energies
The rapid proliferation of lithium-ion batteries in electric vehicles and grid-scale energy storage systems has underscored the critical need for advanced battery management systems, particularly for accurate state of health (SOH) monitoring.
Qingbin Wang, Hangang Yan, Yuxi Wang, Yun Yang, Xiaoguang Liu, Zhuoqi Zhu, Gancai Huang, Zheng Huang   +7 more
doaj   +1 more source

A probabilistic prediction of the next strong earthquake in the Acapulco-San Marcos segment, Mexico [PDF]

Geofísica Internacional, 2005
Conditional probabilities for recurrence times of large earthquakes are a reasonable and valid form for estimating the likelihood of future large earthquakes.
Sergio G. Ferráes
doaj  

Probabilistic user modelling methods for improving human-in-the-loop machine learning for prediction

, 2016
Defence is held on 28.5.2021 12:00 – 16:00 Zoom link https://aalto.zoom.us/j/3182801227In many machine learning applications and in particular those with only few training data, human involvement in the form of data provider or expert of the task is ...
Daee, Pedram, Joel Pyykkö, Samuel Kaski, Pedram Daee, Dorota Glowacka   +4 more
core   +1 more source

Prior-free probabilistic prediction of future observations

, 2015
Prediction of future observations is a fundamental problem in statistics. Here we present a general approach based on the recently developed inferential model (IM) framework.
Ryan Martin (700679), Rama T. Lingham (700680)   +1 more
core   +1 more source

Development of physiologically-based gut absorption model for probabilistic prediction of environmental chemical bioavailability. [PDF]

ALTEX, 2023
Lin HC, Chiu WA.
europepmc   +1 more source

Call sequence prediction through probabilistic calling automata

, 2014
Predicting a sequence of upcoming function calls is important for optimizing programs written in modern managed languages (e.g., Java, Javascript, C#.) Existing function call predictions are mainly built on statistical patterns, suitable for predicting a
Xipeng Shen, Zhao, Zhijia, Bo Wu, Wu, Bo, Sun, Jianhua, Jianhua Sun, Ding, Yufei, Shen, Xipeng, Youfeng Wu, Zhijia Zhao, Yufei Ding, Mingzhou Zhou, Zhou, Mingzhou   +12 more
core   +1 more source