by instadatahelp | Aug 31, 2023 | AI Blogs
Provably Sample-Efficient Model-Free Algorithm for MDPs with Peak Constraints Qinbo Bai, Vaneet Aggarwal, Ather Gattami; 24(60):1−25, 2023. Abstract In the field of optimization for dynamic systems, it is common for variables to have constraints. These types of...
![Identifying Dormant Cyberwarriors through Analysis of Online Forums. (arXiv:2308.15491v1 [cs.SI])](https://instadatanews.com/wp-content/uploads/2023/08/arxiv-logo-fb-1080x675.png)
by instadatahelp | Aug 31, 2023 | AI Blogs
The rise of misinformation in the digital age has given birth to a new kind of warfare known as cyberwarfare. In this form of warfare, individuals known as cyberwarriors intentionally spread false information to defame their opponents or create unity among allies....
by instadatahelp | Aug 31, 2023 | AI Blogs
Minimax Risk Classifiers with 0-1 Loss Authors: Santiago Mazuelas, Mauricio Romero, Peter Grunwald; 24(208):1−48, 2023. Abstract Supervised classification techniques utilize training samples to learn a classification rule that minimizes the expected 0-1 loss (error...
by instadatahelp | Aug 31, 2023 | AI Blogs
The aim of this study is to evaluate the effectiveness of existing techniques for reducing straggler delays in important iterative convergent machine learning algorithms such as Matrix Factorization (MF), Multinomial Logistic Regression (MLR), and Latent Dirichlet...
by instadatahelp | Aug 31, 2023 | AI Blogs
Fundamental Limits and Algorithms for Sparse Linear Regression with Sublinear Sparsity Lan V. Truong; 24(64):1−49, 2023. Abstract In this study, we investigate the normalized mutual information and minimum mean-square-error (MMSE) of sparse linear regression in the...
