This story was originally published on HackerNoon at:
https://hackernoon.com/anomaly-detection-with-privileged-informationpart-1.
Delve into the world of anomaly detection with Support Vector Data Description (SVDD+).
Check more stories related to data-science at:
https://hackernoon.com/c/data-science.
You can also check exclusive content about
#anomaly-detection,
#original-svdd,
#svdd,
#svdd+-theory,
#machine-learning,
#support-vector-data,
#malware-detection,
#hackernoon-top-story,
#hackernoon-es,
#hackernoon-hi,
#hackernoon-zh,
#hackernoon-fr,
#hackernoon-bn,
#hackernoon-ru,
#hackernoon-vi,
#hackernoon-pt,
#hackernoon-ja,
#hackernoon-de,
#hackernoon-ko,
#hackernoon-tr, and more.
This story was written by:
@dsmoliakov. Learn more about this writer by checking
@dsmoliakov's about page,
and for more stories, please visit
hackernoon.com.
Explore the advanced realm of anomaly detection through Support Vector Data Description (SVDD+). Uncover how the inclusion of privileged information during training enhances classification accuracy. Learn about the modified SVDD+ algorithm, its quadratic optimization task, and its applications in medical anomaly detection and malware analysis. Elevate your understanding of anomaly detection with SVDD+.