To address the limitations of binary pCR classification, Pusztai and colleagues developed the residual cancer burden (RCB) ...
Administering an exam used to be straightforward: All a college professor needed was an open room and a stack of blue books. At many American universities, this is no longer true. Professors now ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
Abstract: Decision tree algorithms are one of the most popular methods in machine learning. However, most decision tree algorithms do not assume a stochastic model behind data. On the other hand, a ...
ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...
Multi-label text classification (MLTC) assigns multiple relevant labels to a text. While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled ...
This study provided baseline data for preventing depression in female older adults living alone by understanding the degree of their depressive disorders and factors affecting these depressive ...
Abstract: Classification problems in dynamical environments are in many fields,including signal processing and pattern recognition. In this paper, we propose a novel Bayesian approach to ...
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