by instadatahelp | Sep 4, 2023 | AI Blogs
Intrinsic Persistent Homology via Density-based Metric Learning Authors: Ximena Fernández, Eugenio Borghini, Gabriel Mindlin, Pablo Groisman; Published in: Journal of Machine Learning Research, Volume 24, Pages 1-42, 2023. Abstract This study focuses on estimating...
by instadatahelp | Sep 3, 2023 | AI Blogs
This paper introduces a modified version of the alternating direction method of multipliers (ADMM) for distributed optimization. While the current ADMM algorithms have shown promising results in finding near-optimal solutions for various convex and non-convex...
by instadatahelp | Sep 3, 2023 | AI Blogs
A Parameter-Free Conditional Gradient Method for Composite Minimization under Hölder Condition Masaru Ito, Zhaosong Lu, Chuan He; 24(166):1−34, 2023. Abstract This paper addresses a composite optimization problem that involves minimizing the sum of a weakly smooth...
by instadatahelp | Sep 3, 2023 | AI Blogs
Ultrasound imaging is a crucial tool for diagnosing cervical lymph node lesions. However, the accuracy of these diagnoses heavily relies on the expertise of medical professionals, making the process prone to misdiagnoses. While deep learning has significantly improved...
by instadatahelp | Sep 3, 2023 | AI Blogs
A Likelihood Approach to Nonparametric Estimation of a Singular Distribution Using Deep Generative Models Minwoo Chae, Dongha Kim, Yongdai Kim, Lizhen Lin; 24(77):1−42, 2023. Abstract This study explores the statistical properties of a likelihood approach to...
by instadatahelp | Sep 3, 2023 | AI Blogs
The focus of this paper is on the challenge of localizing data in a federated setting where the data is spread across multiple devices. This problem is complex due to the decentralized nature of federated environments and the presence of outlier data, which hinders...
