Been Kim, Cynthia Rudin, Julie A. Shah. The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification. In Zoubin Ghahramani, Max Welling, Corinna Cortes, Neil D. Lawrence, Kilian Q. Weinberger, editors, Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada. pages 1952-1960, 2014. [doi]
@inproceedings{KimRS14,
title = {The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification},
author = {Been Kim and Cynthia Rudin and Julie A. Shah},
year = {2014},
url = {http://papers.nips.cc/paper/5313-the-bayesian-case-model-a-generative-approach-for-case-based-reasoning-and-prototype-classification},
researchr = {https://researchr.org/publication/KimRS14},
cites = {0},
citedby = {0},
pages = {1952-1960},
booktitle = {Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada},
editor = {Zoubin Ghahramani and Max Welling and Corinna Cortes and Neil D. Lawrence and Kilian Q. Weinberger},
}