IEEE SMC Autonomous Learning Systems Competition
ALS Competition is a new Autonomous Learning Systems Competition organized by IEEE SMC. The goal of this competition is to increase the level of autonomy of the learning algorithms.
Competition Tracks:
1. New data sets and streams that are suitable demonstrators for the topic of the competition.
2. New methods and algorithms for Autonomous Machine Learning in:
• Anomaly detection
• Clustering
• Classification
• Control
• Prediction
Awards:
Track 1 - $1000
Track 2 - $1000 in each category ($5000).
Important Dates:
January 31, 2017.
Deadline for submitting the algorithms in open source GNU license format. The proposed methods and algorithms must be described in form of papers and submitted to the ALS Competition track of EAIS 2017 and presented at the conference (which will be held in Ljubljana, Slovenia).
May 31- June 2, 2017.
Results will be announced during the conference EAIS 2017.
Link to the Competition Webpage
Organized and Sponsored by:
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