Monday of this week, MIT put a spotlight on a paper co-written by researchers from PatternEx and MIT CSAIL. The paper compared PatternEx's Active Learning approach with state-of-the-art Anomaly Detection approaches, and had two important conclusions:
Reducing False Positives
A question we’re often asked is whether PatternEx can reduce false positives, and if so, by how much?
It’s an interesting question. My flip answer is: Sure, we can reduce false positives to zero. We just won’t show anything. But, then you’ll of course miss everything. So here’s the more serious answer: