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Dynamic Modification Neural Network Model for Short-term Traffic Prediction
We proposes a model to segment the original data and generate time subsequences. And we use the random concatenation within a certain time range to learn more complex data distributions. Then we designed a mask method of random continuous segments or random discrete points in partial position range of data and a corresponding objective function for this method. These methods are applied to the dual-stream self-attention model to learn a good distribution of training data. Anomaly detection depend on construction error between the reconstructed data output by the model and the original test data. The evaluation experiments are conducted on two public datasets from aerospace and a public server machine dataset from an Internet company. Our model has a total F1 score of 0.9526 in the three real datasets, which is significantly better than the best performing baseline.
Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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