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2009-2010 University Catalog
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IT 844 - Advanced Pattern RecognitionCredits: 3
Course covers model selection, statistical learning theory, structural risk minimization, support vector machine and regression, semisupervised learning and transduction, change detection, and mixtures of experts such as AdaBoost. Applications related to link analysis for social networks and forensics, collaborative filtering and recommendation systems, and document analysis.
Prerequisites
CS 688 or permission of the instructor.
Hours of Lecture or Seminar per week
3
Hours of Lab or Studio per week
0
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