Results 81 to 90 of about 389,689 (283)
Bankruptcy Prediction: A Comparison of Some Statistical and Machine Learning Techniques [PDF]
We are interested in forecasting bankruptcies in a probabilistic way. Specifically, we compare the classification performance of several statistical and machine-learning techniques, namely discriminant analysis (Altman's Z-score), logistic regression ...
Bolanle Abudu +2 more
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Probabilistic predictability of stochastic dynamical systems
AutomaticaTo 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 $ε$.
Xu, Tao, Li, Yushan, He, Jianping
openaire +2 more sources
Meta-Learning Probabilistic Inference For Prediction
, 2018 International Conference on Learning Representations (ICLR ...
Gordon, Jonathan +4 more
openaire +4 more sources
Aging and Cancer, EarlyView.This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha +4 more
wiley +1 more source
An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction
Water Resources ResearchReliable groundwater level (GWL) prediction is essential for sustainable water resources management. Despite recent advances in machine learning (ML) methods for GWL prediction, further improvements may be made in uncertainty quantification and model ...
Zechen Peng +6 more
doaj +1 more source
Assessing probabilistic forecasts about particular situations [PDF]
How useful are probabilistic forecasts of the outcomes of particular situations? Potentially, they contain more information than unequivocal forecasts and, as they allow a more realistic representation of the relative likelihood of different outcomes ...
Green, Kesten C.
core +1 more source
Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham +7 more
wiley +1 more source
An interpretable probabilistic prediction algorithm for shield movement performance
Frontiers in Earth ScienceTotal thrust and torque are two key indicators of shield movement performance. Most existing data-driven machine learning studies focus on developing more accurate models for predicting total thrust and torque but overlook the interpretability of the ...
Yapeng Zhang +15 more
doaj +1 more source
The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley +1 more source
Why population forecasts should be probabilistic - illustrated by the case of Norway [PDF]
Deterministic population forecasts do not give an appropriate indication of forecast uncertainty. Forecasts should be probabilistic, rather than deterministic, so that their expected accuracy can be assessed.
Arve Hetland +2 more
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