Bayesian Robust Tensor Factorization for Incomplete Multiway Data
نویسندگان
چکیده
منابع مشابه
Robust Bayesian Tensor Factorization for Incomplete Multiway Data
We propose a generative model for robust tensor factorization in the presence of both missing data and outliers. The objective is to explicitly infer the underlying low-CP-rank tensor capturing the global information and a sparse tensor capturing the local information (also considered as outliers), thus providing the robust predictive distribution over missing entries. The lowCP-rank tensor is ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Neural Networks and Learning Systems
سال: 2016
ISSN: 2162-237X,2162-2388
DOI: 10.1109/tnnls.2015.2423694