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Human-Guided Statistical Relational Learning
May 22 @ 12:00 pm - 1:00 pm
Recently there has been an increased interest in intelligent systems that effectively utilize human feedback. Traditional machine learners are reliant on a large amount of ideal training data. However, it is vital that learning systems working on complex, real-world tasks make use of expert knowledge to complement available data. Many intelligent systems require that the expert understand machine learning in order to provide useful knowledge. This talk will give an overview of relational learning techniques and then describe approaches that exploit the relational structure to incorporate expert knowledge in an intuitive way.
Speaker(s): Dr. Phillip Odom,
Doors open at 11:30am; lunch is provided.
The talk begins at noon and will wrap up around or before 1p.
We must vacate the space by 1:30p.
Lunch is provided!
Room: 9th floor, room 9104
Bldg: Centergy One
75 Fifth St. NW.