Change-points in time series data are usually defined as the instants at which changes their properties occur. Detecting change-points is critical a number of applications diverse detecting credit card and insurance frauds, or intrusions into networks. Recently authors introduced an online kernel-based change-point detection method built upon direct estimation density ratio on consecutive inter...

We propose a practical Bayesian optimization method over sets, to minimize black-box function that takes set as single input. Because inputs are permutation-invariant, traditional Gaussian process-based strategies which assume vector can fall short. To address this, we develop with kernel is used build surrogate functions. This accumulates similarity elements enforce permutation-invariance, but...

Organic/inorganic composite particles with a core–shell structure exhibit potential applications in chemical mechanical polishing/planarization (CMP) for mechanically challenging materials (copper and low-k dielectrics etc.). In this work, the spherical composites comprised of polystyrene (PS) cores and mesoporous silica (mSiO2) shells were synthesized through a self-assembly of cetyltrimethyla...