Alternating matrix factorization decomposes a matrix V in the form V ~ WH where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n ...
Alternating matrix factorization decomposes a matrix V in the form V ~ WH where W is called the basis matrix and H is called the encoding matrix. V is taken to be of size n x m and the obtained W is n ...
Temporal text data, such as news articles or Twitter feeds, often comprises a mixture of long-lasting trends and transient topics. Effective topic modeling strategies should detect both types and ...
Abstract: Tensor factorization-based data completion methods have found extensive application in cyber-physical-social systems (CPSS), particularly in intelligent transportation systems. However, most ...
Abstract: Patent litigation is an expensive and time-consuming legal process. To reduce costs, companies can proactively manage patents using predictive analysis to identify potential plaintiffs, ...
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