SCS Student Seminar / Computer Science Speaking Skills Talk

Friday, December 4, 2015 - 12:00pm to 1:00pm


McWilliams Classroom 4303 Gates & Hillman Centers


SHIVA KAUL, Ph.D. Student

Linear classifiers are convenient to train, but cannot cope with noisy or complex data. Nonlinear kernel classifiers are powerful, but are prone to overfitting and are cumbersome to train. A new kind of classifier addresses the limitations of both of its forebears, as evidenced by its surprising statistical and algebraic properties. Our classifier underlies a new learning algorithm of notable practical and theoretical interest.
Joint work with Geoff Gordon.
Presented in Partial Fulfillment of the CSD Speaking Skills Requirement.
Speaker Skills Poster

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Speaking Skills