Afterword: Ignorance studies: Interdisciplinary, multidisciplinary, and transdisciplinary
M Smithson - Routledge international handbook of ignorance …, 2015 - taylorfrancis.com
Ignorance inevitably will be encountered in multidisciplinary, interdisciplinary, and
transdisciplinary dialogues, scholarship, and research. This Handbook is a source of starting …
transdisciplinary dialogues, scholarship, and research. This Handbook is a source of starting …
A deep forest-based fault diagnosis scheme for electronics-rich analog circuit systems
Z Jia, Z Liu, Y Gan, CM Vong… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …
mechanisms and the variability of the working environment. In recent years, deep learning …
[PDF][PDF] Nonparametric Predictive Inference.
FPA Coolen - 2011 - tahanimaturi.com
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 …
assumption A (n)[30], which gives a direct conditional probability for a future observable …
Imprecision and prior-data conflict in generalized Bayesian inference
G Walter, T Augustin - Journal of Statistical Theory and Practice, 2009 - Taylor & Francis
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 …
probabilities is the potential to reflect the amount of knowledge they stand for. Consequently …
The structure function for system reliability as predictive (imprecise) probability
FPA Coolen, T Coolen-Maturi - Reliability Engineering & System Safety, 2016 - Elsevier
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 …
its components. As such, it is typically a straightforward binary function which plays an …
Predictive inference for system reliability after common-cause component failures
FPA Coolen, T Coolen-Maturi - Reliability Engineering & System Safety, 2015 - Elsevier
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 …
common-cause failures of components. It is assumed that a single failure event may lead to …
Lazy Multi-Label Classification algorithms based on Non-Parametric Predictive Inference
S Moral-García, J Abellán - Expert Systems with Applications, 2024 - Elsevier
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 …
might belong to multiple labels simultaneously. Many lazy approaches to MLC have been …
Classification with decision trees from a nonparametric predictive inference perspective
J Abellán, RM Baker, FPA Coolen, RJ Crossman… - … Statistics & Data …, 2014 - Elsevier
An application of nonparametric predictive inference for multinomial data (NPI) to
classification tasks is presented. This model is applied to an established procedure for …
classification tasks is presented. This model is applied to an established procedure for …
A Bayesian Imprecise Classification method that weights instances using the error costs
In practical applications, Bayesian classification methods have been successfully employed.
The Naïve Bayes algorithm (NB) is a quick, successful, and well-known Bayesian …
The Naïve Bayes algorithm (NB) is a quick, successful, and well-known Bayesian …
A new label ordering method in Classifier Chains based on imprecise probabilities
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 …
and effective methods to exploit correlations between labels. A CC considers a binary …