by instadatahelp | Aug 30, 2023 | AI Blogs
The arXivLabs framework enables collaborators to develop and share new features directly on our website. Both individuals and organizations that collaborate with arXivLabs uphold our values of openness, community, excellence, and user data privacy. We are dedicated to...
by instadatahelp | Aug 30, 2023 | AI Blogs
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data Authors: Yuqi Gu, Elena E. Erosheva, Gongjun Xu, David B. Dunson; Volume 24, Issue 88, Pages 1-49, 2023. Abstract Mixed Membership Models (MMMs) are widely used latent structure models for...
by instadatahelp | Aug 30, 2023 | AI Blogs
arXivLabs is a platform where collaborators can create and share new features for our website. Both individuals and organizations who collaborate with arXivLabs share our values of openness, community, excellence, and user data privacy. We only work with partners who...
by instadatahelp | Aug 30, 2023 | AI Blogs
Least Squares Model Averaging for Distributed Data Authors: Haili Zhang, Zhaobo Liu, Guohua Zou; Journal of Machine Learning Research 24(215):1−59, 2023. Abstract The divide and conquer algorithm is commonly used in big data analysis. However, the theory of model...
by instadatahelp | Aug 30, 2023 | AI Blogs
[Submitted on 28 Aug 2023] Download a PDF of the paper titled A correlation-based fuzzy cluster validity index with secondary options detector, by Nathakhun Wiroonsri and Onthada Preedasawakul Download PDF Abstract: The problem of determining the optimal number of...
by instadatahelp | Aug 30, 2023 | AI Blogs
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu, Fang Yao, Qiuran Yao, Huiming Zhang; 24(92):1−46, 2023. Abstract The field of statistics and machine learning has seen a growing interest in developing robust...
