Search Results for author: Mohammad T. Manzuri

Found 2 papers, 1 papers with code

Active Learning from Positive and Unlabeled Data

1 code implementation24 Feb 2016 Alireza Ghasemi, Hamid R. Rabiee, Mohsen Fadaee, Mohammad T. Manzuri, Mohammad H. Rohban

Such problems arise in many real-world situations and are known as the problem of learning from positive and unlabeled data.

Active Learning Informativeness +1

A Bayesian Approach to the Data Description Problem

no code implementations24 Feb 2016 Alireza Ghasemi, Hamid R. Rabiee, Mohammad T. Manzuri, M. H. Rohban

The proposed approach uses a Bayesian framework to precisely compute the class boundary and therefore can utilize domain information in form of prior knowledge in the framework.

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