COAL : a continuous active learning system
Name
1003321541-MIT.pdf
Description
Full printable version
Size
3.34 MB
Format
Adobe PDF
Checksum (MD5)
3a13f9f38f28e19695790ec6d28db5d2
Author(s)
Johannemann, Jonathan
Advisor(s)
Kalyan Veeramachaneni and Tauhid Zaman.
Alternative Title
Continuous active learning system
Date Issued
2017
Publisher
Massachusetts Institute of Technology
Abstract
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).
Subjects
Sloan School of Management. Master of Finance Program.
MIT Department
Sloan School of Management. Master of Finance Program.
Sloan School of Management
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