11 research outputs found
Regional brain changes occurring during disobedience to "Experts" in financial decision-making
10.1371/journal.pone.0087321PLoS ONE91e8732
An Adaptable Platform for Directed Evolution in Human Cells
Therapeutic cell differentiatio
Relative effects of direct spread, lymph node metastasis and venous invasion in relation to blood borne distant metastasis present at the time of resection of colorectal cancer
Cellular Tree Classifiers
The cellular tree classifier model addresses a fundamental problem in the design of classifiers for a parallel or distributed computing world: Given a data set, is it sufficient to apply a majority rule for classification, or shall one split the data into two or more parts and send each part to a potentially different computer (or cell) for further processing? At first sight, it seems impossible to define with this paradigm a consistent classifier as no cell knows the “original data size”, n. However, we show that this is not so by exhibiting two different consistent classifiers. The consistency is universal but is only shown for distributions with nonatomic marginals. Index Terms — Classification, pattern recognition, tree classifiers, cellular computation, Bayes risk consistency, asymptotic analysis, nonparametric estimation