Results 11 to 20 of about 169,803 (261)

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 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, Chijioke Joel Nweke   +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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Discriminative cluster analysis [PDF]

Proceedings of the 23rd international conference on Machine learning - ICML '06, 2006
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of programming and because it accomplishes a good trade-off between achieved performance and computational complexity.
Fernando De la Torre, Takeo Kanade
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Discriminant analysis of spatial-temporal data

Lietuvos Matematikos Rinkinys, 2002
There is not abstract.
Jūratė Šaltytė-Benth, Kęstutis Dučinskas   +1 more
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Sugarcane yield forecast using weather based discriminant analysis

Smart Agricultural Technology, 2023
Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups.
S R Krishan Priya, R Keerti Balambiga, Pradeep Mishra, Soumitra Sankar Das   +3 more
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Discriminant analysis of multivariate spatial regressions

Lietuvos Matematikos Rinkinys, 2001
There is not abstract.
Kęstutis Dučinskas, Jūratė Šaltytė
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Logistic discriminant analysis [PDF]

2009 IEEE International Conference on Systems, Man and Cybernetics, 2009
Linear discriminant analysis (LDA) is one of the well known methods to extract the best features for the multi-class discrimination. Otsu derived the optimal nonlinear discriminant analysis (ONDA) by assuming the underlying probabilities and showed that the ONDA was closely related to Bayesian decision theory (the posterior probabilities).
Takio Kurita, Kenji Watanabe, Nobuyuki Otsu   +2 more
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Discriminant analysis of the equicorrelated Gaussian observations

Lietuvos Matematikos Rinkinys, 2021
In this paper the problem of classification of an observation into one of two Gaussian populations with different means and common variance is considered in the case when equicorrelated training sample is given.
Kęstutis Dučinskas, Jurgita Neverdauskaiė   +1 more
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Annealed Discriminant Analysis [PDF]

, 2005
Motivated by the analogies to statistical physics, the deterministic annealing (DA) method has successfully been demonstrated in a variety of applications. In this paper, we explore a new methodology to devise the classifier under the DA method. The differential cost function is derived subject to a constraint on the randomness of the solution, which ...
Wang, Gang, Zhang, Zhihua, Lochovsky, Frederick H.   +2 more
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