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

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