نتایج جستجو برای: discriminant function analysis

تعداد نتایج: 3791955  

Journal: :American journal of speech-language pathology 2003
Melissa A Bray Thomas J Kehle Kimberly A Lawless Lea A Theodore

This study investigated the relationship of self-efficacy for verbal fluency, academic self-efficacy, and depression between adolescents who stutter and fluent speakers. Two separate discriminant function analyses were performed. The first analysis used the self-efficacy and depression scores as response variables and fluency classification as the grouping variable. Results indicated that self-...

Journal: :رخساره های رسوبی 0
محمد خانه باد طیبه گل افشانی سید رضا موسوی حرمی اسداله محبوبی

in this study, depositional environment and provenance of sandstones of the surijeh formation (lower cretaceous) in the abgarm section in the kopet-dagh basin are investigated. analysis of sedimentary facies in this section shows that there are two clastic (continental and coastal plain) and two carbonate (coastal plain) facies associations are present. the results of modal analysis and geochem...

2000
Baback Moghaddam Ming-Hsuan Yang

Nonlinear Support Vector Machines (SVMs) are investigated for visual sex classification with low resolution "thumbnail" faces (21by-12 pixels) processed from 1,755 images from the FE RET face database. The performance of SVMs is shown to be superior to traditional pattern classifiers (Linear, Quadratic, Fisher Linear Discriminant, Nearest-Neighbor) as well as more modern techniques such as Radi...

2015
Shuichi Shinmura

In this paper, we focus on the new model selection procedure of the discriminant analysis. Combining resampling technique with k-fold cross validation, we develop a k-fold cross validation for small sample method. By this breakthrough, we obtain the mean error rate in the validation samples (M2) and the 95% confidence interval (CI) of discriminant coefficient. Moreover, we propose the model sel...

Journal: :زیست شناسی دریا 0
حکیمه فکراندیش hakimeh fekrandish ابوالقاسم کمالی abolghasem kamali سید جواد حسینی seyyeddjavad hosseini مهدی سلطانی mahdi soltani

this study was designed to evaluate population variation and differentiation of bartail flathead, platycephalusindicus (linnaeus, 1785)in the iranian waters of the persian gulf using the morphometric and meristic characters. a total of 180 fish were collected by gill net from six stations (khormosa, bahrekan, shif, motaf, charak and bandar abbas) of iranian coasts of persian gulf including 30 f...

Journal: :The Journal of neuropsychiatry and clinical neurosciences 2001
R W Thatcher D M North R T Curtin R A Walker C J Biver J F Gomez A M Salazar

EEG spectral analyses were conducted from 19 scalp locations for patients with mild (n=40), moderate (n=25), and severe (n=43) traumatic brain injury (TBI), 15 days to 4 years after injury. Severity of TBI was judged by emergency hospital admission records (Glasgow Coma Score and duration of coma and amnesia). Highest-loading EEG variables on each factor that differed significantly between seve...

2009
Noriko IWAMOTO

Discriminant analysis has many application fields: assigning patients to a disease, loan applicants to a risk category, potential purchasers to a market segment, and the like. The conventional discriminant problem is to determine a discriminant function, which maps a point in a multi-dimensional feature space to a point in a one-dimensional decision space, using a set of labeled points in the f...

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 . . . . . ....

Journal: :Int. J. Computational Intelligence Systems 2011
Jie Wu Qingxian An Liang Liang

Among the various discriminant analysis (DA) methods, researchers have investigated several directions in this area: statistics, econometrics, computer data mining technologies and mathematical programming. Recently, as a nonparametric mathematical programming approach, Data envelopment analysis has been applied in DA area and received great attention. In this paper, we propose a new discrimina...

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