Ignorance inevitably will be encountered in multidisciplinary, interdisciplinary, and
transdisciplinary dialogues, scholarship, and research. This Handbook is a source of starting …

Electronics-rich analog systems are difficult to diagnose owing to their complex working
mechanisms and the variability of the working environment. In recent years, deep learning …

Nonparametric Predictive Inference (NPI) is a statistical methodology based on Hill's
assumption A (n)[30], which gives a direct conditional probability for a future observable …

A great advantage of imprecise probability models over models based on precise, traditional
probabilities is the potential to reflect the amount of knowledge they stand for. Consequently …

In system reliability, the structure function models functioning of a system for given states of
its components. As such, it is typically a straightforward binary function which plays an …

This paper presents nonparametric predictive inference for system reliability following
common-cause failures of components. It is assumed that a single failure event may lead to …

Multi-Label classification (MLC) extends standard classification in the sense that an instance
might belong to multiple labels simultaneously. Many lazy approaches to MLC have been …

An application of nonparametric predictive inference for multinomial data (NPI) to
classification tasks is presented. This model is applied to an established procedure for …

In practical applications, Bayesian classification methods have been successfully employed.
The Naïve Bayes algorithm (NB) is a quick, successful, and well-known Bayesian …

Abstract In Multi-Label Classification (MLC), Classifier Chains (CC) are considered simple
and effective methods to exploit correlations between labels. A CC considers a binary …