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Integrating Omics and Pathological Imaging Data for Cancer Prognosis via a Deep Neural Network-Based Cox Model. [PDF]
Stat MedLi J, Ma S.
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Nonparametric Density Estimation of a Long-Term Trend from Repeated Semicontinuous Data. [PDF]
J Am Stat AssocLemyre FC, Carroll RJ, Delaigle A.
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IEEE Transactions on Image Processing, 2007
Active contours, or so-called snakes, require some parameters to determine the form of the external force or to adjust the tradeoff between the internal forces and the external forces acting on the active contour. However, the optimal values of these parameters cannot be easily identified in a general sense.
Umut Ozertem, Deniz Erdogmus
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Active contours, or so-called snakes, require some parameters to determine the form of the external force or to adjust the tradeoff between the internal forces and the external forces acting on the active contour. However, the optimal values of these parameters cannot be easily identified in a general sense.
Umut Ozertem, Deniz Erdogmus
openaire +2 more sources
The American Journal of Occupational Therapy, 1986
Abstract This paper proposes the use of nonparametric statistical methods as a way to increase the quality and quantity of research in occupational therapy. Assumptions underlying parametric versus nonparametric methods are compared and the conditions under which nonparametric methods may be preferred are specified.
C B, Royeen, W L, Seaver
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Abstract This paper proposes the use of nonparametric statistical methods as a way to increase the quality and quantity of research in occupational therapy. Assumptions underlying parametric versus nonparametric methods are compared and the conditions under which nonparametric methods may be preferred are specified.
C B, Royeen, W L, Seaver
openaire +2 more sources