Joshua Guerin

 JoshuaT. Guerin

Joshua T. Guerin

  • Courses6
  • Reviews7

Biography

University of Tennessee Martin - Computer Science


Resume

  • 2011

    Lexington Herald-Leader Fellow

    Lexington

    Kentucky Area

    University of Kentucky

  • 2008

    University of Kentucky

  • 2007

    University of Kentucky

    Transylvania University

    University of Tennessee at Martin

    Martin

    Tennessee

    Interim Chair of Computer Science

    Martin

    Tennessee

    Assistant Professor of Computer Science

    The University of Tennessee at Martin

    Martin

    Tennessee

    Chair of Computer Science

    University of Tennessee at Martin

    Martin

    Tennessee

    Associate Professor of Computer Science

    The University of Tennessee at Martin

  • 2006

    Graduate Certificate

    Cognitive Science

    University of Kentucky

    Master of Science

    Computer Science

    University of Kentucky

    Ph.D.

    Computer Science

    Logic and Artificial Intelligence Lab

    Fencing Club

    University of Kentucky

  • 2002

    Bachelor of Arts

    Computer Science (major)

    Psychology (minor)

    ACM

    Jazz Ensemble

    Transylvania University

  • Grant Writing

    Technical Writing

    Programming

    Research

    Perl

    Artificial Intelligence

    Python

    R

    C++

    Statistics

    Computer Science

    Teaching

    Linux

    Matlab

    SQL

    Java

    Higher Education

    C

    LaTeX

    Prolog

    Learning CP-net Preferences Online from User Queries

    We present an online

    heuristic algorithm for learning Conditional Preference networks (CP-nets) from user queries. This is the first efficient and resolute CP-net learning algorithm: if a preference\norder can be represented as a CP-net

    our algorithm learns a CP-net in time $n^p$

    where $p$ is a bound on the number of parents a node may have. The learned CP-net is guaranteed to be consistent with the original CP-net on all queries from the learning process. We tested the algorithm on randomly generated CP-nets; the learned CP-nets agree with the originals on a high percent of non-training preference comparisons.

    Learning CP-net Preferences Online from User Queries

    Guerin

    University of Tennessee at Martin

COMPSCI 220

2(1)

CSCI 435

3.8(2)