Autor/Autorin: Bhatt Nikita
Nikita Bhatt has received her B.E. Degree in Computer Engineering From Sardar Patel University, India in 2006 and M.Tech Degree in Computer Engineering from Charotar University Of Science & Technology,India in 2012.Her Current Research Area is Meta Learning and Active Mete Learning.
In Classification, selection of classifier for data set is difficult. Meta learning automates this process by acquiring knowledge from past experience but generation of meta example is a costly process. So Active Meta Learning can be used which reduces generation of meta examples and at the same time maintaining performance of candidate algorithms. Model presented here provides Ranking using ARR ranking method.
Über den Autor
Nikita Bhatt has received her B.E degree in Computer Engineering from Sardar Patel University,India in 2006 and M.tech degree from Charotar University of Science and Technology, India in 2012. Her current research area is Meta Learning and Active Meta Learning.
Klappentext
In Classification, selection of classifier for data set is difficult. Meta learning automates this process by acquiring knowledge from past experience but generation of meta example is a costly process. So Active Meta Learning can be used which reduces generation of meta examples and at the same time maintaining performance of candidate algorithms. Model presented here provides Ranking using ARR ranking method.
