Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems

10 Apr 2018Zihao XiaoJianfei ChenJun Zhu

Probabilistic topic models are popular unsupervised learning methods, including probabilistic latent semantic indexing (pLSI) and latent Dirichlet allocation (LDA). By now, their training is implemented on general purpose computers (GPCs), which are flexible in programming but energy-consuming... (read more)

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