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Found 3 papers, 1 papers with code
syslrn: Learning What to Monitor for Efficient Anomaly Detection
While monitoring system behavior to detect anomalies and failures is important, existing methods based on log-analysis can only be as good as the information contained in the logs, and other approaches that look at the OS-level software state introduce high overheads.
TransRev: Modeling Reviews as Translations from Users to Items
This is exploited in sentiment analysis where machine learning models are used to predict the review score from the text of the review.
Net2Vec: Deep Learning for the Network
We present Net2Vec, a flexible high-performance platform that allows the execution of deep learning algorithms in the communication network.
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