Explaining machine learning predictions : rationales and effective modifications
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018 === Cataloged from PDF version of thesis. === Includes bibliographical references (pages 129-131). === Deep learning models have demonstrated unprecedented accuracy in wide-ranging...
Main Author: | Mishra, Sudhanshu Nath. |
---|---|
Other Authors: | Randall Davis and Andrew W. Lo. |
Format: | Others |
Language: | English |
Published: |
Massachusetts Institute of Technology
2019
|
Subjects: | |
Online Access: | https://hdl.handle.net/1721.1/121599 |
Similar Items
-
Generating rationale for molecular prediction using reinforcement learning
by: Chen, Benson(Benson S.)
Published: (2019) -
Deriving machine attention from human rationales
by: Bao, Yujia.
Published: (2019) -
Visualizations for model tracking and predictions in machine learning
by: Lee, Wei-En
Published: (2018) -
Leveraging machine learning to predict playcalling tendencies in the NFL
by: Goyal, Udgam.
Published: (2021) -
MakeML : automated machine learning from data to predictions
by: Tromba, Isabella M
Published: (2018)