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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA de Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Van-Tinh Tran

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PhD student

Team Data Mining and Machine Learning
 
Institution Claude Bernard University of Lyon 1
Location Nautibus (Université Lyon1)
 
E-mail van-tinh.tran at liris.cnrs.fr
Contact details Publications Thesis
 
Subject Learning with missing data and selection bias using graphical models
Abstract This thesis addresses the problem of learning a probabilistic classification model in the presence of missing data and/orselection bias. This type of data is commonly encountered in many real-world applications (epidemiology, health, industry). To this aim, we propose to use directed acyclic graphs (DAGs) to models the mechanisms underlying the missing data and selection bias, based on the work of Judea Pearl. The purpose of the thesis is to establish certain conditions under which it is possible to learn a unbiased predictive model from these datasets. Specific case studies will be presented to validate our proposals.
Advisor Alexandre Aussem

Last update : 2016-06-15 14:31:40