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: A priori state vector and error covariance computation for the Unscented Kalman Filter (UKF) is described. The original UKF propagates multiple sigma points ...

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, ...

Abstract: Based on the physics-informed neural network (PINN) method, a two-step inverse scattering method is proposed to improve the efficiency and accuracy of the inversion in this work. The first ...

Murray Rothbard is well-known as one of the greatest exponents of praxeology, which operates through a priori reasoning. He was careful, however, to distinguish praxeology from history. The latter ...

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, that you enjoy it; the other, that ...

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 ...

Here we developed an open-source Python-based library called Python rodent Analysis and Tracking (PyRAT). Our library analyzes tracking data to classify distinct behaviors, estimate traveled distance, ...