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University Calendar
Events for November
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Nov 04, 2016 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
University Calendar
Join us for a presentation by Alexander Schaerli, Associate Director - Marketing Sciences at Mindshare, titled "Data Science in Media."
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Julie Phaneuf
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USC Veterans Career Fair
Wed, Nov 09, 2016 @ 12:00 PM - 03:00 PM
Viterbi School of Engineering Career Connections
University Calendar
All student and alumni Vets and military spouses/families, you are invited to the Veterans Career Fair at USC!
Employers from a diverse array of industries will be on campus to meet and hire you.
To find out more about the Veterans Career Fair as well as RSVP, please visit http://careers.usc.edu/students/info/veteranscareerfairLocation: Von Kleinsmid Center For International & Public Affairs (VKC) - Courtyard
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Nov 11, 2016 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
University Calendar
Join us for a presentation by Professor Mikhail G. Shapiro, Assistant Professor of Chemical Engineering at Caltech, titled "Biomolecular Engineering for Non-Invasive Imaging of Biological Function."
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Julie Phaneuf
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W.V.T. Rusch Engineering Honors Program Colloquium
Fri, Nov 18, 2016 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
University Calendar
Join us for a presentation by Professor Gregg Hallinan, Professor of Astronomy at Caltech, titled "Extrasolar Space Weather."
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Julie Phaneuf
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PhD Defense - Greg Harris
Wed, Nov 30, 2016 @ 10:30 AM - 12:30 PM
Thomas Lord Department of Computer Science
University Calendar
Customized Data Mining Objective Functions
Ph.D. candidate: Greg Harris
Wednesday, Nov. 30, 2016
10:30 AM, EEB 110
Abstract:
Interpretable machine learning models, such as classification rule lists, enable knowledge discovery and model vetting by domain experts. Their transparency, however, often comes at the cost of accuracy, when compared to more complex models. Our research seeks to improve the accuracy of such models while retaining their interpretable rule-based form. Our strategy is to generate domain-dependent objective functions that specify heuristic trade-offs tailored for individual datasets.
Our first contribution is FrontierMiner, a new rule-based algorithm for predicting a target class with high precision. It learns a non-parametric objective function directly from the data. We show that FrontierMiner finds higher-precision rules more often than competing rule induction systems in a study involving 1,000 synthetic datasets and 138 real-world classification tasks. Our second contribution is PRIMER, a new algorithm for maximizing event impact on time series. It has an objective function that adapts to the level of noise in the data. It also incorporates user-provided input on the expected response pattern as a heuristic that helps prevent over-fitting. We show PRIMER is competitive with state-of-the-art regression techniques in a large financial event study, yet has improved model interpretability. Our third contribution is a method of learning an objective function from user feedback in the form of pairwise rankings. With this feedback, we use learning-to-rank algorithms to combine existing measures into an overall objective function that more closely matches the user's preference. We conclude the presentation with directions for future research.
Biography:
Greg Harris is currently a PhD candidate in the Computer Science Department at the University of Southern California. His research interests include data mining, pattern recognition, and machine learning. He also holds a Master of Financial Mathematics degree from the University of Minnesota and a Bachelor of Science degree in Applied Physics from Brigham Young University.
Defense Committee: Viktor Prasanna (chair), Cauligi Raghavendra, Ellis Horowitz
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110
Audiences: Everyone Is Invited
Contact: Lizsl De Leon
