Anomaly Detection, Anomaly Segmentation, Novelty Detection, Out-of-Distribution Detection
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We present a Reverse Reinforcement Learning (Reverse RL) approach for representing retrospective knowledge.
We present results and analysis for a wide range of algorithms on this benchmark, and discuss future challenges for the emerging field of streaming analytics.
Ranked #1 on Anomaly Detection on Numenta Anomaly Benchmark
We present a novel algorithm for anomaly detection on very large datasets and data streams.
Here we propose the Numenta Anomaly Benchmark (NAB), which attempts to provide a controlled and repeatable environment of open-source tools to test and measure anomaly detection algorithms on streaming data.
Ranked #3 on Anomaly Detection on Numenta Anomaly Benchmark