Organic phosphates have been widely used as fire-retardant additives or co-solvents to improve the safety of Li-ion electrolytes. However, these solvents show poor compatibility at low potentials and cannot work efficiently as sole solvent and at low salt concentration. The utilization of high...

This paper proposes a novel approach for privacy-preserving distributed model-based classifier training. Our approach is an important step towards supporting customizable privacy modeling and protection. It consists of three major steps. First, each data site independently learns a weak concept...

The complexity of multivariate time series models increases dramatically when the number of component series increases. This is a phenomenon observed in both low- and high-frequency financial data analysis. In this paper, we develop a regularization framework for multivariate time series models...

Gaussian mixture models have been used extensively in model-based clustering. It is well known that the likelihood function for this model is unbounded and the global MLE does not exist. Existing methods confine the parameter estimates in the interior of the parameter space and the MLE is shown...