[Dmbu-l] Talk by Been Kim from MIT this Friday, 11/7 10:30 am MCS 148

Dora Erdos edori at bu.edu
Mon Nov 3 09:31:58 EST 2014

Hi All,

this week Been Kim from MIT will be giving a talk on Bayesian case-based 
reasoning. Let me know if you would like to meet with the speaker.



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 
represent clusters in a data set, by performing joint inference on cluster 
labels, prototypes and important features. Simultaneously, BCM pursues 
sparsity by learning subspaces, the sets of features that play important 
roles in the characterization of the prototypes. The prototype and 
subspace representation provides quantitative benefits in interpretability 
while preserving  classification accuracy. Human subject experiments 
verify statistically significant improvements to participants' 
understanding when using explanations produced by BCM, compared to those 
given by prior art.

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