C. Bradford Barber

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The convex hull of a set of points is the smallest convex set that contains the points. This article presents a practical convex hull algorithm that combines the two-dimensional Quickhull algorithm with the general-dimension Beneath-Beyond Algorithm. It is similar to the randomized, incremental algorithms for convex hull and delaunay triangulation. We(More)
Many gerontologists propose definitions of wisdom. Usually these are "empirical," as opposed to a-priori or "real" definitions. In this article we defend an a-priori definition of wisdom. We briefly explain a-priori and empirical definitions, and how they relate to each other in research. After rejecting two classical a-priori definitions of wisdom, we(More)
There is growing agreement that wisdom is multidimensional. But are the dimensions imputed to wisdom by recent theories congruent with major attributes of wisdom as lived by aging adults? Significant data exist on the attributes that various populations, including elderly populations, associate with wisdom. But there is little data available on what(More)
In human body, the cells are arranged in a particular pattern. Neoplastic diseases such as cancer may cause a change in these arrangements. Different methods can be used to quantify these patterns. This study mainly focuses on the structural representation of colon tissue and the graph features used to diagnose and grade the cancer. The different graph(More)
INTRODUCTION The cost of in vivo and in vitro screening of ADME properties of compounds has motivated efforts to develop a range of in silico models. At the heart of the development of any computational model are the data; high quality data are essential for developing robust and accurate models. The characteristics of a dataset, such as its availability,(More)
In recent years the applicability domain (AD) of a prediction system has become an important concern in (Q)SAR modelling, especially in the context of human safety assessment. Today AD is an active research topic, and many methods have been designed to estimate the adequacy of a model and the confidence in its outcome for a given prediction task.(More)
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