Algorithmic High Dimensional Robust Statistics
Download Algorithmic High Dimensional Robust Statistics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Algorithmic High Dimensional Robust Statistics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Algorithmic High-Dimensional Robust Statistics
Author: Ilias Diakonikolas
language: en
Publisher: Cambridge University Press
Release Date: 2023-09-07
This book presents general principles and scalable methodologies to deal with adversarial outliers in high-dimensional datasets.
Beyond the Worst-Case Analysis of Algorithms
Author: Tim Roughgarden
language: en
Publisher: Cambridge University Press
Release Date: 2021-01-14
Introduces exciting new methods for assessing algorithms for problems ranging from clustering to linear programming to neural networks.
Web and Big Data
The five-volume set LNCS 14961, 14962, 14963, 14964 and 14965 constitutes the refereed conference proceedings of the 8th International Joint Conference on Web and Big Data, APWeb-WAIM 2024, held in Jinhua, China, during August 30–September 1, 2024. The 171 full papers presented in these proceedings were carefully reviewed and selected from 558 submissions. The papers are organized in the following topical sections: Volume I: Natural language processing, Generative AI and LLM, Computer Vision and Recommender System. Volume II: Recommender System, Knowledge Graph and Spatial and Temporal Data. Volume III: Spatial and Temporal Data, Graph Neural Network, Graph Mining and Database System and Query Optimization. Volume IV: Database System and Query Optimization, Federated and Privacy-Preserving Learning, Network, Blockchain and Edge computing, Anomaly Detection and Security Volume V: Anomaly Detection and Security, Information Retrieval, Machine Learning, Demonstration Paper and Industry Paper.