In this paper, we tackle this challenge with an extension of Sparse Inverse Covariance Estimation (SICE), a novel data mining technique, to address decisions in Operations and Supply Chain Management. We conduct a simulation study to validate the effectiveness of this extension in improving the ...
Research summary: This paper uses Sparse Inverse Covariance Estimation (SICE) to advance strategic management research, focusing on an application of exploratory SICE techniques to generate novel, testable hypotheses. We demonstrate how SICE can identify intrinsic relationships among variables, especially ...
The Real-Valued Sparse Direction of Arrival (DOA) Estimation Based on the Khatri-Rao Product The proposed algorithm is based on the sparse representation of the array covariance matrix. The array covariance matrix is transformed to a real-valued ... T Chen,H Wu,Z Zhao - 《Sensors》 被引量...