Classification Methodologies Based on Censored Training Data Under Certain Life-Time Probabilistic Model Assumptions with Applications
Implementing Organization
Principal Investigator
Dr. Manas Ranjan Tripathy
Associate Professor
|
Department of Physics And Astronomy, National Institute of Technology, Rourkela, Odisha
About
Researchers are increasingly interested in classifying observations into multiple groups or populations under various probabilistic model assumptions. This problem has applications in fields like medicine, agriculture, social sciences, military surveillance, image processing, and pattern recognition. The project aims to develop new classification rules using censored training data, using probabilistic models like gamma, Weibull, log-normal, and Bur XII. Simulation methodology will be used to derive new classification rules and estimate the expected probability of misclassification.
Disclaimer:
Information available on this portal is sourced from various organizations and is provided for informational purposes only. Users are advised to verify details from the respective official sources.
Please enter your details
Please provide your name and email to continue. Your details are saved in this browser for future use.
Latest Updates
Loading…
⚠️
You are leaving this website
You are about to be redirected to an external website that is not operated by
India Science, Technology & Innovation (ISTI) Portal.
Associate Professor
Department of Physics And Astronomy, National Institute of Technology, Rourkela, Odisha
Acces sibility Controls