نتایج جستجو برای: روش kde

تعداد نتایج: 370577  

Journal: :CoRR 2015
Dharmani Bhaveshkumar C

The article derives a novel Gram-Charlier A (GCA) Series based Extended Rule-of-Thumb (ExROT) for bandwidth selection in Kernel Density Estimation (KDE). There are existing various bandwidth selection rules achieving minimization of the Asymptotic Mean Integrated Square Error (AMISE) between the estimated probability density function (PDF) and the actual PDF. The rules differ in a way to estima...

2015
Yanting Shen Zhengming Chen Robert Clarke David A. Clifton

We evaluate the risks of cardiovascular disease to the Chinese population by i) detecting ”abnormality” using 3 one-class classification methods (a discriminative one-class support vector machine (SVM), a generative kernel density estimate (KDE), and a discriminative KDE), and ii) predicting probabilities of ”normality”, arrhythmia, and ischemia using 3class classification method (a discriminat...

2007
Vincent Yan Fu Tan See-Kiong Ng

Data mining tasks such as supervised classification can often benefit from a large training dataset. However, in many application domains, privacy concerns can hinder the construction of an accurate classifier by combining datasets from multiple sites. In this work, we propose a novel privacy-preserving distributed data sanitization algorithm that randomizes the private data at each site indepe...

2017
Jianxin Wu

5 Nonparametric estimation 12 5.1 A one-dimensional example . . . . . . . . . . . . . . . . . . . . . 13 5.2 Problems with the histogram approximation of p.d.f. . . . . . . . 15 5.3 Make your examples far-reaching . . . . . . . . . . . . . . . . . . 16 5.4 Kernel density estimation . . . . . . . . . . . . . . . . . . . . . . 16 5.5 Bandwidth selection . . . . . . . . . . . . . . . . . . . . . ....

Journal: :Molecular immunology 2009
Sabyasachi Das Nikolas Nikolaidis Masatoshi Nei

We have studied the genomic structure and evolutionary pattern of immunoglobulin kappa deleting element (KDE) and three kappa enhancers (KE5', KE3'P, and KE3'D) in eleven mammalian genomic sequences. Our results show that the relative positions and the genomic organization of the KDE and the kappa enhancers are conserved in all mammals studied and have not been affected by the local rearrangeme...

2009
Andrea Capiluppi Paul J. Adams

Proponents of Free Software have argued that some of the most established software engineering principles do not fully apply when considered in an open, distributed approach. Among these principles, “Brooks’ Law” has been questioned in the Free Software context: large teams of developers, contrary to the law, will not need an increasingly growing number of communication channels. As advocates c...

Journal: :Journal of vision 2008
Tetsuya Yamamoto Shigeko Takahashi Takashi Hanakawa Shin-ichi Urayama Toshihiko Aso Hidenao Fukuyama Yoshimichi Ejima

The stereokinetic effect (SKE) refers to a visual phenomenon in which a two-dimensional figure rotating in the fronto-parallel plane about the visual axis can create the impression of a three-dimensional (3-D) object. Although several characteristics of SKE suggest that the perceptual mechanisms involved in SKE may differ from those of the kinetic depth effect (KDE), the differences between SKE...

2015
Louise D. Fraser Yuan Zhao Pamela M. K. Lutalo David P. D'Cruz John Cason Joselli S. Silva Deborah K. Dunn‐Walters Saba Nayar Andrew P. Cope Jo Spencer

The principles of allelic exclusion state that each B cell expresses a single light and heavy chain pair. Here, we show that B cells with both kappa and lambda light chains (Igκ and Igλ) are enriched in some patients with the systemic autoimmune disease systemic lupus erythematosus (SLE), but not in the systemic autoimmune disease control granulomatosis with polyangiitis. Detection of dual Igκ ...

Journal: :Psychological methods 2014
Jared K Harpole Carol M Woods Thomas L Rodebaugh Cheri A Levinson Eric J Lenze

Exploratory data analysis (EDA) can reveal important features of underlying distributions, and these features often have an impact on inferences and conclusions drawn from data. Graphical analysis is central to EDA, and graphical representations of distributions often benefit from smoothing. A viable method of estimating and graphing the underlying density in EDA is kernel density estimation (K...

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