An Approach on an Autonomous Grading System using Adaptive Booster Gradient Technique
Kamalinder Kaur, Navdeep Kaur · 2021
Due to the rapid up-gradation in the technology, there is a voluminous diversification in computation, size and framework of interconnected devices made a requirement of an autonomous computing system. The purpose of managing such uprising problems without the intervention of humans can be achieved with the usage of autonomic computing. In this paper the adaptive boosting technique is applied on the grading system to get the desired and applied specifications. It is done after applying the infinite restricted Boltzmann machine using adaptive boosting technique to achieve the grades. The performance measures used are recall, precision and accuracy