Results 21 to 30 of about 2,386,323 (274)
Journal of Functional Morphology and Kinesiology, 2023 In recent years, much effort has been made to reduce the injury rate in combat sports. However, the question remains to what extent these measures are effective.
Rastislav Štyriak +4 more
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Diagnostic and Prognostic Research, 2021 Background Incremental value (IncV) evaluates the performance change between an existing risk model and a new model. Different IncV metrics do not always agree with each other. For example, compared with a prescribed-dose model, an ovarian-dose model for
Qian M. Zhou +4 more
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Comparing the Performance Evaluation Models of Gas Refineries Using AHP and TOPSIS [PDF]
Journal of Advances in Environmental Health Research, 2021 Background: To basically solve the critical environmental problems, macro and infrastructural perspectives of rational development should be designed following environmental protection rules.
Mahmoud Mohammadi +3 more
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Proper scoring rules : properties and applications [PDF]
, 2020 Proper and strictly proper scoring rules provide a rigorous method for evaluating the accuracy of a probabilistic forecast while encouraging honesty. In this dissertation, we develop new proper and strictly proper scoring rules. We introduce additive and
Smith, Zachary James
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Subgroup Discovery with Proper Scoring Rules [PDF]
, 2016 Subgroup Discovery is the process of finding and describing sufficiently large subsets of a given population that have unusual distributional characteristics with regard to some target attribute. Such subgroups can be used as a statistical summary which improves on the default summary of stating the overall distribution in the population. A natural way
Hao Song 0007 +3 more
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Beyond Strictly Proper Scoring Rules: The Importance of Being Local [PDF]
, 2021 The evaluation of probabilistic forecasts plays a central role both in the interpretation and in the use of forecast systems and their development. Probabilistic scores (scoring rules) provide statistical measures to assess the quality of probabilistic ...
Du, Hailiang
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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 +3 more
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Properization: constructing proper scoring rules via Bayes acts [PDF]
Annals of the Institute of Statistical Mathematics, 2019 Scoring rules serve to quantify predictive performance. A scoring rule is proper if truth telling is an optimal strategy in expectation. Subject to customary regularity conditions, every scoring rule can be made proper, by applying a special case of the Bayes act construction studied by Grünwald and Dawid (2004) and Dawid (2007), to which we refer as ...
Brehmer, Jonas R., Gneiting, Tilmann
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The validation and assessment of machine learning: a game of prediction from high-dimensional data. [PDF]
PLoS ONE, 2009 In applied statistics, tools from machine learning are popular for analyzing complex and high-dimensional data. However, few theoretical results are available that could guide to the appropriate machine learning tool in a new application.
Tune H Pers +4 more
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Evaluating the discrimination ability of proper multi-variate scoring rules [PDF]
Annals of Operations Research, 2022 AbstractProper scoring rules are commonly applied to quantify the accuracy of distribution forecasts. Given an observation they assign a scalar score to each distribution forecast, with the lowest expected score attributed to the true distribution. The energy and variogram scores are two rules that have recently gained some popularity in multivariate ...
Carol Alexander +3 more
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