Results 1 to 10 of about 18,331 (65)
IEEE Access, 2023 Recently, an absolute value inequalities discriminant analysis criterion with robustness and sparseness for supervised dimensionality reduction was studied.
Chun-Na Li +4 more
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Ekuilibrium: Jurnal Ilmiah Bidan Ilmu Ekonomi, 2020 This study aims to determine whether there are clear differences between groups on the dependent variable. This analysis uses the independent variable Life Expectancy (X1), Number of Health Facilities (Puskesmas) (X2), Number of Facilities (Supporting ...
Ramli Lewenussa, Rais Dera Pua Rawi
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Quadratic Multilinear Discriminant Analysis for Tensorial Data Classification
Algorithms, 2023 Over the past decades, there has been an increase of attention to adapting machine learning methods to fully exploit the higher order structure of tensorial data.
Cristian Minoccheri +4 more
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Probabilistic Class-Specific Discriminant Analysis
IEEE Access, 2020 In this paper we formulate a probabilistic model for class-specific discriminant subspace learning. The proposed model can naturally incorporate the multi-modal structure of the negative class, which is neglected by existing class-specific methods ...
Alexandros Iosifidis
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Discriminant analysis predicted undisciplined policemen
Science Progress, 2021 In the wider spectrum of Taiwanese public service spheres, the herculean services and dedication of its committed Police personnel have long been recognized, respected, and admired.
Kuang-Tai Liu, Ryi-Kui Yu, Hsin-Yun Ma
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Discriminant Analysis for Correlated Data [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Mālīyyaẗ wa Al-Tiğāriyyaẗ, 2019 The correlated data are of great importance in the practical life, for example we may want to track the case of a patient after taking a treatment for consecutive periods of time. Also, we may want to track a disease with the members of a certain family.
Ahmed Mohamed Mohamed El-Sayed
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Discriminant analysis involving count data [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2023 A situation giving rise to a violation of the normality assumption in discriminant analysis is that which involves count observations. For a two-variable case involving count observations, this paper presents a new discriminant analysis approach when ...
George Chinanu Mbaeyi +1 more
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Discriminant Analysis under f-Divergence Measures
Entropy, 2022 In statistical inference, the information-theoretic performance limits can often be expressed in terms of a statistical divergence between the underlying statistical models (e.g., in binary hypothesis testing, the error probability is related to the ...
Anmol Dwivedi, Sihui Wang, Ali Tajer
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Hierarchical Discriminant Analysis
Sensors, 2018 The Internet of Things (IoT) generates lots of high-dimensional sensor intelligent data. The processing of high-dimensional data (e.g., data visualization and data classification) is very difficult, so it requires excellent subspace learning algorithms ...
Di Lu +3 more
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Discriminant analysis of spatial-temporal data
Lietuvos Matematikos Rinkinys, 2002 There is not abstract.
Jūratė Šaltytė-Benth +1 more
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