The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification

The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification

We present the Bayesian Case Model (BCM), a general framework for Bayesian case-based reasoning (CBR) and prototype classification and clustering. BCM brings the intuitive power of CBR to a Bayesian generative framework. The BCM learns prototypes, the “quintessential” observations that best represen...

Full description

Bibliographic Details
Main Authors: Kim, Been, Rudin, Cynthia, Shah, Julie A.
Other Authors: Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Format: Article
Language:en_US
Published: Neural Information Processing Systems Foundation, Inc. 2014
Online Access:http://hdl.handle.net/1721.1/91918
https://orcid.org/0000-0003-1338-8107

Internet

http://hdl.handle.net/1721.1/91918
https://orcid.org/0000-0003-1338-8107

Similar Items