by instadatahelp | Aug 29, 2023 | AI Blogs
Multi-source Learning via Completion of Block-wise Overlapping Noisy Matrices Doudou Zhou, Tianxi Cai, Junwei Lu; 24(221):1−43, 2023. Abstract Electronic healthcare records (EHR) serve as a valuable resource for healthcare research. One challenge in effectively...
by instadatahelp | Aug 29, 2023 | AI Blogs
SQLFlow: A Flexible Toolkit for Integrating Databases and AI Authors: Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, ChaoChao Chen; Published in 2023, 24(116):1−9. Abstract The integration of AI algorithms into databases is an ongoing endeavor in both academia and...
by instadatahelp | Aug 29, 2023 | AI Blogs
The content can be rewritten as follows: arXivLabs is a platform where collaborators can create and share new features for arXiv directly on our website. We are proud to have individuals and organizations who share our values of openness, community, excellence, and...
by instadatahelp | Aug 29, 2023 | AI Blogs
Single Timescale Actor-Critic Method for Solving the Linear Quadratic Regulator with Convergence Guarantees Mo Zhou, Jianfeng Lu; 24(222):1−34, 2023. Abstract We propose a single timescale actor-critic algorithm for solving the linear quadratic regulator (LQR)...
by instadatahelp | Aug 29, 2023 | AI Blogs
The increasing prevalence of cardiovascular diseases (CVDs) highlights the need for affordable and easily accessible tools for continuous cardiac monitoring. While Electrocardiography (ECG) is considered the standard, continuous monitoring remains a challenge. As a...
by instadatahelp | Aug 29, 2023 | AI Blogs
Ill-Posedness of Maximum Likelihood Estimation in Gaussian Process Regression Toni Karvonen, Chris J. Oates; 24(120):1−47, 2023. Abstract Gaussian process regression is widely used in machine learning and statistics, and maximum likelihood estimation is commonly...
