The model leverages two Bayesian nonparametric methods: Gaussian process regression: Learns trajectories from data, enabling the model to capture a wide variety of progression patterns; Does not ...

Clustering is a critical step in single cell-based studies. Most existing methods support unsupervised clustering without the a priori exploitation of any domain knowledge. When confronted by the high ...

Abstract: This paper proposes an a priori signal-to-noise ratio (SNR) estimator using an air-conduction (AC) and a bone-conduction (BC) microphone. Among various ways of combining AC and BC ...

The authors present a comprehensive set of tools to compactly characterize the time-frequency interactions across a network. The utility of the toolbox is compelling and demonstrated through a series ...

ABSTRACT: In this paper, we study the nonexistence of solutions of the following time fractional nonlinear Schr?dinger equations with nonlinear memory where 0, ιλ denotes the principal value of ιλ, ...

Chinese Academy of Science (CAS) Key Laboratory of Nanosystem and Hierarchy Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, P. R.

For Francis Latreille — the Montreal producer and one-man-act behind Priori — sound has always served as a portal to new realities. His 2019 debut On a Nimbus involved the convergence of drum & bass, ...

There are two motives for reading a book; one, that you enjoy it; the other, that you can boast about it. Philosopher. There are two motives for reading a book; one ...

A segmentation approach in which segmentation variables, such as age or income, are selected first and then customers are classified accordingly; the reverse of this is Post Hoc Segmentation in which, ...

Abstract: It sometimes happens (for instance in case control studies) that a classifier is trained on a data set that does not reflect the true a priori probabilities of the target classes on ...

The problem of predicting molecular crystalline hydrates through crystal structure prediction (CSP) is a significant challenge due to the range of possible stoichiometric and nonstoichiometric water ...