Latent Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification
We present a general framework for Bayesian case-based reasoning and prototype classification and clustering -- Latent Case Model (LCM). LCM learns the most representative prototype observations of a dataset by performing joint inference on cluster prototypes and features. Simultaneously, LCM pursue...
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2014
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| Online Access: | http://hdl.handle.net/1721.1/87548 |