Results 11 to 20 of about 91,473 (258)
GRASP: a goodness-of-fit test for classification learning
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2023 Abstract Performance of classifiers is often measured in terms of average accuracy on test data. Despite being a standard measure, average accuracy fails in characterising the fit of the model to the underlying conditional law of labels given the features vector (Y∣X), e.g.
Adel Javanmard, Mohammad Mehrabi
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Is a Classification Procedure Good Enough?—A Goodness-of-Fit Assessment Tool for Classification Learning [PDF]
Journal of the American Statistical Association, 2021 In recent years, many nontraditional classification methods, such as random forest, boosting, and neural network, have been widely used in applications. Their performance is typically measured in terms of classification accuracy. While the classification error rate and the like are important, they do not address a fundamental question: Is the ...
Zhang, Jiawei, Ding, Jie, Yang, Yuhong
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A Survey on Banknote Recognition Methods by Various Sensors
Sensors, 2017 Despite a decrease in the use of currency due to the recent growth in the use of electronic financial transactions, real money transactions remain very important in the global market.
Ji Woo Lee +3 more
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Materials Research Express, 2021 The accuracy of structural state evaluation may be affected by the damaged piezoelectric sensors. Therefore, it is necessary to identify the sensor fault during monitoring.
Xie Jiang, Xin Zhang, Yuxiang Zhang
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Energies, 2022 Feature selection is the procedure of extracting the optimal subset of features from an elementary feature set, to reduce the dimensionality of the data.
Lichao Sun +6 more
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Sensors, 2016 Fitness classification is a technique to assess the quality of banknotes in order to determine whether they are usable. Banknote classification techniques are useful in preventing problems that arise from the circulation of substandard banknotes (such as
Seung Yong Kwon +4 more
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Recognizing Banknote Fitness with a Visible Light One Dimensional Line Image Sensor
Sensors, 2015 In general, dirty banknotes that have creases or soiled surfaces should be replaced by new banknotes, whereas clean banknotes should be recirculated. Therefore, the accurate classification of banknote fitness when sorting paper currency is an important ...
Tuyen Danh Pham +7 more
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On Classifications of Fitness Functions [PDF]
, 2001 Reihe Computational Intelligence ...
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Classification and methodical features of fitness and wellness facilities
Pedagogics, Psychology, Medical-Biological Problems of Physical Training and Sports, 2014 Purpose : health and fitness use a large arsenal of different sports and physical activity. Development of fitness industry promotes its expansion and requires classification and methodological features that lead to the use of appropriate fitness ...
Yu. I. Beliak
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Alexandria Engineering Journal, 2023 Feature selection (FS) is a crucial task in machine learning applications, which aims to select the most appropriate feature subset while maintaining high classification accuracy with the minimum number of selected features.
Asmaa M. Khalid +3 more
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