Book ; Online: Encoding Binary Events from Continuous Time Series in Rooted Trees using Contrastive Learning
2024
Abstract: Broadband infrastructure owners do not always know how their customers are connected in the local networks, which are structured as rooted trees. A recent study is able to infer the topology of a local network using discrete time series data from the ... ...
Abstract | Broadband infrastructure owners do not always know how their customers are connected in the local networks, which are structured as rooted trees. A recent study is able to infer the topology of a local network using discrete time series data from the leaves of the tree (customers). In this study we propose a contrastive approach for learning a binary event encoder from continuous time series data. As a preliminary result, we show that our approach has some potential in learning a valuable encoder. Comment: Extended abstract presented as a poster at the Northern Lights Deep Learning Conference 2024 in Troms{\o}, Norway |
---|---|
Keywords | Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Computer Science - Social and Information Networks ; Statistics - Machine Learning |
Publishing date | 2024-01-02 |
Publishing country | us |
Document type | Book ; Online |
Database | BASE - Bielefeld Academic Search Engine (life sciences selection) |
Full text online
More links
Kategorien
Inter-library loan at ZB MED
Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.