In-Network Learning: Distributed Training and Inference in Communication Networks
M Moldoveanu - 2023 - theses.hal.science
We study the problem of distributed statistical learning. More specifically, we consider the
distributed training and inference setting. In the considered scenario, multiple nodes need to …
distributed training and inference setting. In the considered scenario, multiple nodes need to …
[PDF][PDF] Word category maps based on emergent features created by ICA
JJ Väyrynen, T Honkela - Proceedings of the STeP, 2004 - Citeseer
In this paper, we assume that word co-occurrence statistics can be used to extract
meaningful features, exhibiting syntactic and semantic behavior, from text data. Independent …
meaningful features, exhibiting syntactic and semantic behavior, from text data. Independent …
[PDF][PDF] Automated web pages classification with integration of principal component analysis (PCA) and independent component analysis (ICA) as feature reduction
With the explosive growth of internet, web pages classification has become an essential
issue. This is because web pages classification will provide an efficient information search to …
issue. This is because web pages classification will provide an efficient information search to …
Features extraction for illicit web pages identifications using independent component analysis
LZ Sam, MA bin Maarof, A Selamat… - … on Intelligent and …, 2007 - ieeexplore.ieee.org
The illicit web content such as pornography, violence, gambling, etc. have greatly polluted
the mind of immature web users. Pornography perhaps is one of the biggest threats related …
the mind of immature web users. Pornography perhaps is one of the biggest threats related …