COAL : a continuous active learning system
Author(s)
Johannemann, Jonathan
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Alternative title
Continuous active learning system
Other Contributors
Sloan School of Management. Master of Finance Program.
Advisor
Kalyan Veeramachaneni and Tauhid Zaman.
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Show full item recordAbstract
In this thesis, our objective is to enable businesses looking to enhance their product by varying its attributes, where effectiveness of the new product is assessed by humans. To achieve this, we mapped the task to a machine learning problem. The solution is two fold: learn a non linear model that can map the attribute space to the human response, which can then be used to make predictions, and an active learning strategy that enables learning this model incrementally. We developed a system called Continuous active learning system (COAL).
Description
Thesis: M. Fin., Massachusetts Institute of Technology, Sloan School of Management, Master of Finance Program, 2017. Cataloged from PDF version of thesis. Includes bibliographical references (pages 59-60).
Date issued
2017Department
Sloan School of Management. Master of Finance Program.; Sloan School of ManagementPublisher
Massachusetts Institute of Technology
Keywords
Sloan School of Management. Master of Finance Program.