1 publication

• Published Subscription 30 Jun 2018

  A Survey on Multi Label Classification

  By Dhatri Ganda

  Abstract: MultiLabel Classification is a kind of supervised learning where each instance can belong to set of multiple classes. The methods can be broadly classified into two groups: Problem Transformation and Algorithm Adaptation. Ten representative Multi Label models are scrutinized under common notations followed by different evaluation metrics. There exists wide range of application for multi label prediction such as text categorization, semantic image labeling, gene functionality etc. This survey paper …

  Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 19–23 Read article →