نتایج جستجو برای: general tensor discriminant analysis gtda

تعداد نتایج: 3410952  

ژورنال: Practice in Clinical Psychology 2016
Heydari Dolat Abadi, Nasrin, Mohammadian, Abolfazl, Mohammadkhani, Parvaneh, Soltani Azemat, Ebrahim,

Objective: Sexual addiction is a psychiatric disorder with unpleasant personal, inter-personal, legal, social, and physical outcomes for the patients. The cycle of this disorder is based on a false belief system known as early maladaptive schemas. This study aimed to examine and compare maladaptive cognitive schemas in sex addicts and normal people. Methods: In the present study, a causal-comp...

2009
Christie Williams

2 Classification of One-Dimensional Data 2 2.1 Linear Discriminant Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.1 Building the LDA Classifier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2.1.2 Results of One-Dimensional LDA Classification . . . . . . . . . . . . . . . . . . . . . . 4 2.2 Quadratic Discriminant Analysis . . . . . ....

1999
Thomas Hertog Neil Turok

We perform a first principles computation of the spectrum of gravity waves produced in open inflationary universes. The background spacetime is taken to be the continuation of an instanton saddle point of the Euclidean no boundary path integral. The two-point tensor correlator is computed directly from the path integral and is shown to be unique and well behaved in the infrared. We discuss the ...

Journal: :Japanese Sociological Review 1966

Journal: :Hiroshima Mathematical Journal 1994

Journal: :Computational Statistics & Data Analysis 2018

Journal: :Pattern Recognition 2021

Quadratic discriminant analysis (QDA) is a widely used statistical tool to classify observations from different multivariate Normal populations. The generalized quadratic (GQDA) classification rule/classifier, which generalizes the QDA and minimum Mahalanobis distance (MMD) classifiers discriminate between populations with underlying elliptically symmetric distributions competes quite favorably...

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