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). / 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). / by Jonathan Johannemann. / M. Fin.
| Identifer | oai:union.ndltd.org:MIT/oai:dspace.mit.edu:1721.1/111453 |
| Date | January 2017 |
| Creators | Johannemann, Jonathan |
| Contributors | Kalyan Veeramachaneni and Tauhid Zaman., Sloan School of Management. Master of Finance Program., Sloan School of Management. Master of Finance Program. |
| Publisher | Massachusetts Institute of Technology |
| Source Sets | M.I.T. Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 60 pages, application/pdf |
| Rights | MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission., http://dspace.mit.edu/handle/1721.1/7582 |
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