We introduce a very general method for high dimensional classification, based on careful
combination of the results of applying an arbitrary base classifier to random projections of …

Rockburst is a typical dynamic phenomenon of mine destruction. With the expansion of
mining scale and mining depth, its harm is becoming more and more serious. This has …

Objectives This study aims to identify significant symptoms and nonsymptom-related factors
for malaria diagnosis in endemic regions of Indonesia. Methods Medical records are …

Abstract Model average techniques are very useful for model-based prediction. However,
most earlier works in this field focused on parametric models and continuous responses. In …

This article derives a new family of estimators, namely the minimum density power
divergence estimators, as a robust generalization of the maximum likelihood estimator for …

Robust estimators and Wald-type tests are developed for the multinomial logistic regression
based on-divergence measures. We compute the influence function of the proposed …

Motivation Cancer is a highly heterogeneous disease, and virtually all types of cancer have
subtypes. Understanding the association between cancer subtypes and genetic variations is …

With the development of social interaction techniques and social tagging mechanisms,
online academic community as a new platform has greatly changed the way users organize …

Support Vector Regression (SVR) and its variants are widely used regression algorithms,
and they have demonstrated high generalization ability. This research proposes a new SVR …

Purpose: The main purpose of this study is to carry out a failure analysis of a filling machine
by applying multinomial logistic regression. Design/methodology/approach: For this …