جامعة الملك عبدالعزيز

KING ABDULAZIZ UNIVERSITY

Faculty of Computing and Information Technology in Rabigh

Seminar about “A Novel Ensemble Method for Regression via Classification Problems” at Faculty of Computing in Rabigh


Dr. Amir Ahmad presented a seminar about “A Novel Ensemble Method for Regression via Classification Problems “ at Faculty of Computing and Information Technology in Rabigh on Monday 20/2/2012 at 12:00 noon. FCITR Vice dean and faculty members attended the seminar. The following is the brief of the seminar:

Regression via classification (RvC) is a method in which a regression problem is converted into a classification problem. A discretization process is used to covert continuous target value to classes. The discretized data can be used with classifiers as a classification problem. In this work, we use a discretization method, Extreme Randomized Discretization (ERD), in which bin boundaries are created randomly to create ensembles. We present an ensemble method for RvC problems. We show theoretically that the proposed ensembles for RvC perform better than RvC with the equal-width discretization method. We also show the superiority of the proposed ensemble methods experimentally. Experimental results suggest that the proposed ensembles perform competitively to the method developed specifically for regression problems.











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Last Update 2/20/2012 11:05:02 PM