Kernel distance-based robust support vector methods and its application in developing a robust K-chart

By Satyanshu Kumar, Alok K. Choudhary, Maneesh Kumar, R. Shankar, Manoj Kumar Tiwari. 2006

53 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/c24367cb4ecd0dd9f926f0e0318bf5d2e4860e3d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Shichang Du
2. Jun Lv

In Statistics and Probability

1. Shichang Du
2. Jun Lv

Citations in the corpus

• Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes (2013, methodology): “Sun and Tsung (2003) and Kumar et al. (2006) developed one kernel-distance based K-chart using support vector for monitoring the independent observations.”