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COMP8650 Advanced Topics in Statistical Machine Learning

COMP8650 is only available under certain award programs.

Offered By Research School of Computer Science
Academic Career Graduate Coursework
Course Subject Computer Science
Offered in Second Semester, 2012 and Second Semester, 2013
Unit Value 6 units
Course Description

This course explores a selected area relevant to statistical machine learning in depth, and will be taught by an SML staff member of internationally recognised standing and research interest in that area. Based on current SML staffing, this will be one of:

  • kernel methods
  • graphical models
  • reinforcement learning
  • convex analysis
  • optimisation
  • bioinformatics
  • minimal description length principle
  • topics in information theory
  • decision theory

 

Course Classification(s) AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs. and SpecialistSpecialist courses are designed for students having reached 'first degree' level of assumed knowledge, which provide for the acquisition of specialist skills; or 'second degree' and higher level of knowledge; or for transition to research training programs; or knowledge associated with professional accreditation.
Areas of Interest Computer Science
Requisite Statement

Permission required from Program Convenor

Other Information

http://sml.nicta.com.au/Education/Teaching/AdvSML

The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.

Updated:   13 Nov 2015 / Responsible Officer:   The Registrar / Page Contact:   Student Business Solutions