ST Piantadosi - Psychonomic bulletin & review, 2014 - Springer
The frequency distribution of words has been a key object of study in statistical linguistics for the past 70 years. This distribution approximately follows a simple mathematical form known …
M Duan, D Liu, X Chen, R Liu, Y Tan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Federated learning (FL) is a distributed deep learning method that enables multiple participants, such as mobile and IoT devices, to contribute a neural network while their …
S Thurner, R Hanel, P Klimek - 2018 - books.google.com
This book is a comprehensive introduction to quantitative approaches to complex adaptive systems. Practically all areas of life on this planet are constantly confronted with complex …
In order to evaluate the prevalence of security and privacy practices on a representative sample of the Web, researchers rely on website popularity rankings such as the Alexa list …
We present the largest and most detailed measurement of online tracking conducted to date, based on a crawl of the top 1 million websites. We make 15 types of measurements on each …
This paper presents a state-of-the-art model for visual question answering (VQA), which won the first place in the 2017 VQA Challenge. VQA is a task of significant importance for …
Multi-tenancy in modern datacenters is currently limited to a single latency-critical, interactive service, running alongside one or more low-priority, best-effort jobs. This limits …
Federated learning (FL) is a distributed deep learning method which enables multiple participants, such as mobile phones and IoT devices, to contribute a neural network model …
X Huang, J Li, X Hu - Proceedings of the tenth ACM international …, 2017 - dl.acm.org
Attributed network embedding aims to seek low-dimensional vector representations for nodes in a network, such that original network topological structure and node attribute …