نتایج جستجو برای: multivariate classification
تعداد نتایج: 599747 فیلتر نتایج به سال:
OBJECTIVES To examine the relationship between cervical screening uptake and political engagement, and to test whether political engagement and voting behaviour mediate the association between age and cervical screening uptake. SETTING A population-based survey of women in England in 2010. METHODS Women aged 26-64 took part in home-based computer-assisted interviews (n = 890). Women were cl...
Aimed at the problem of huge computation, large tree size and over-fitting of the testing data for multivariate decision tree (MDT) algorithms, we proposed a novel roughset-based multivariate decision trees (RSMDT) method. In this paper, the positive region degree of condition attributes with respect to decision attributes in rough set theory is used for selecting attributes in multivariate tes...
BACKGROUND Carcinomas of the maxillary sinus are classified according to the Union Internationale Contre le Cancer (UICC)/American Joint Committee on Cancer (AJCC) TNM classification. The purpose of this study was to assess the prognostic significance of the UICC/AJCC TNM classification seventh edition, which was introduced in 2010. METHODS One hundred thirteen patients with malignant tumors ...
OBJECTIVE To investigate the factors associated to the physical inactivity among teenagers in Salvador, BA. METHODOLOGY A cross-sectional study was made with 803 teenagers from 10 to 14 years old, enrolled in public high schools in Salvador, BA. Information concerning physical activity levels (dependent variable), sedentary behavior, demographic, anthropometric, socioeconomic and maternal cha...
MARS. J. J Plaut 1 , A. Safaeinili 1 , B. A. Campbell 2 , R. J. Phillips 3 , N. E. Putzig 3 , D. C. Nunes 1 , R. Seu 4 . 1 Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 ([email protected]), 2 Center for Earth and Planetary Studies, National Air and Space Museum, Smithsonian Institution, Washington, D.C. 20560, 3 Southwest Research Institute, Boulder, CO 8030...
We introduce a classification framework for continuous multivariate stream data. The proposed approach works in two steps. In the preprocessing step, it takes as input a sliding window of multivariate stream data and discretizes the data in the window into a string of symbols that characterize the signal changes. In the classification step, it uses a simple text classification algorithm to clas...
Various approaches to gene selection for cancer classification based on microarray data can be found in the literature and they may be grouped into two categories: univariate methods and multivariate methods. Univariate methods look at each gene in the data in isolation from others. They measure the contribution of a particular gene to the classification without considering the presence of the ...
This article deals with the recognition of recurring multivariate time series patterns modelled sample-point-wise by parametric fuzzy sets. An efficient classification-based approach for the online recognition of incompleted developing patterns in streaming time series is being presented. Furthermore, means are introduced to enable users of the recognition system to restrict results to certain ...
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