LinkedIn

Quadratic Mean-Field BSDEs and Exponential Utility Maximization

New preprint (with Kihun Nam and Jiaqiang Wen) on arXiv: Quadratic Mean-Field BSDEs and Exponential Utility Maximization — https://lnkd.in/g6xpPmEB. We study mean-field BSDEs with generators of ...
Frontiers

Expectation-maximization alternating least squares for tensor network logistic regression

In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
IEEE

LAPS-and-D2D Enabled Maritime Emergency Communications: Deployment Optimization and Resource Management

Abstract: This paper investigates the application of low altitude platform station (LAPS) and device-to-device (D2D) techniques in maritime emergency communications. The hovering LAPS acts as an ...
C&EN

OneOPES, a Combined Enhanced Sampling Method to Rule Them All

School of Pharmaceutical Sciences, University of Geneva, Rue Michel Servet 1, 1206 Genève, Switzerland Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, 1206 ...
Nature

A probability prediction method for the classification of surrounding rock quality of tunnels with incomplete data using Bayesian networks

The classification of surrounding rock quality is critical for the dynamic construction and design of tunnels. However, obtaining complete parameters for predicting the surrounding rock grades is ...
snmjournals.org

Efficient Delay Correction for Total-Body PET Kinetic Modeling Using Pulse Timing Methods

Computer simulations of time–activity curve data were developed to evaluate the bias and SD of delay estimation approaches. A high-temporal-resolution IF (0.1-s sampling) representing a bolus of 18 ...
C&EN

A Dynamic and Probabilistic Design Space Determination Method for Mesenchymal Stem Cell Cultivation Processes

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A five-step method is proposed for determining the design space of mesenchymal stem ...
IEEE

Workspace analysis and optimal design of a 3-leg 6-DOF parallel platform mechanism

Abstract: A new class of six-degree-of-freedom (DOFs) spatial parallel platform mechanism is considered in this paper. The architecture consists of a mobile platform connected to the base by three ...
GitHub

Monotone k-Submodular Function Maximization with Size Constraints

A k-submodular function is a generalization of a submodular function, where the input consists of k disjoint subsets, instead of a single subset, of the domain. Many machine learning problems, ...
Frontiers

Memory Efficient PCA Methods for Large Group ICA

Principal component analysis (PCA) is widely used for data reduction in group independent component analysis (ICA) of fMRI data. Commonly, group-level PCA of temporally concatenated datasets is ...
PNAS

Unsupervised identification of significant lineages of SARS-CoV-2 through scalable machine learning methods

New SARS-CoV-2 variants emerged throughout the COVID-19 pandemic that were more infectious, virulent, or immune evasive, emphasizing the importance of studying the unfolding evolution of the virus.