Michael Madden IT Department NUI Galway
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New PhD scholarships - July 2015

July 2015:

We have 2 new PhD scholarships, including a stipend of up to €13,000 tax free per annum + fees + some travel money, available for highly qualified applicants. These are teaching scholarships: the scholars work for 10 hours/week, 25 weeks/year, in our Computer Programming Drop In Support Centre (http://www.it.nuigalway.ie/engineering-informatics/information-technology/currentstudents/computerdisc/).

If you are interested in working with me in the Data Mining and Machine Learning Research Group, please contact me by email for details.

Applicants should be available to start by September 2015. Applicants should have:

  • A BSc or MSc in Computer Science or a closely related discipline, with a track record of scholarship that indicates excellent potential for a PhD research
  • Excellent skills in communicating and helping others learn, as these activities will be required as part of the scholarship conditions
  • Evidence of strong programming abilities and comfort with mathematical concepts.

Your research can be in any topic related to my research group's interests. This link has some research topic ideas.

For these scholarships, there will be an evaluation process involving shortlisting based on your background, an interview, and an assessment of your ability to tutor students in multiple programming languages. 

Deadline: Contact me as soon as possible. Applications must be received by 24 July.

 
Software for Bayesian Network Classification

Over several years, I have developed open-source machine learning software for inductively learning various forms of Bayesian networks from data, and for classification using BNs.

You can download it here, with instructions on how to use it.

Features include:
  • Learn Naive Bayes, Tree-Augmented Naive Bayes (TAN), General Bayesian Networks, and BN-Augmented Naive Bayes structures
  • Multiple scoring metrics, including the K2 metric, BDeu and CMI
  • Visualisation of structures using GraphViz (DOT and DOTTY)
  • Supplementary code to work with data from other formats, to perform cross-validation, to construct learning curves, and to construct ROC curves
For a description of the classifiers, and a discussion of their relative performance, see: “On the Classification Performance of TAN and General Bayesian Networks” , Michael G. Madden. Knowledge Based Systems, 2009.

Please cite that paper if you use this software in your work.

 
Research Overview

The Data Mining and Machine Learning Group is led by Michael Madden of the College of Engineering & Informatics, NUI Galway.

Our research is focused on new theoretical advances in machine learning and data mining, motivated by important practical applications, on the basis that challenging applications foster novel algorithms which in turn enable new applications.

Specific research topics include:

  • Artificial intelligence, data mining & machine learning
  • Algorithms for classification and numeric prediction
  • New methods for combining domain knowledge with data mining
  • Time series data analysis
  • Probability, reasoning under uncertainty, and Bayesian networks
  • Reinforcement learning
  • Practical applications of data mining and machine learning in science, engineering & medicine.

For more specific information, take a look at our current and recent research projects, our publications, and the current and past members of our group. You can also contact me with questions.

 

© M Madden