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Project
Machine Learning for Data Mining Applications in Cancer Genomics (FWOAL744)
Machine Learning (ML) is a rapidly growing field of research both in terms of new techniques and applications.
The most exciting aspect of ML is the No Free Lunch principle that states no single ML-algorithm is optimal on types of problems, andhence therefore you can’t have a priori knowledge if any onetechnique is the most suitable for a particular problem.
In this research we focus on using ML for “mining” large genomic data sets in order to class human tumours.
The most exciting aspect of ML is the No Free Lunch principle that states no single ML-algorithm is optimal on types of problems, andhence therefore you can’t have a priori knowledge if any onetechnique is the most suitable for a particular problem.
In this research we focus on using ML for “mining” large genomic data sets in order to class human tumours.
Date:1 Dec 2013 → 30 Nov 2016
Keywords:Databases, Evolution of language, Programming languages, Mobile Computing, Artificial Intelligence, Serious games, Web systems, Software agents
Disciplines:Data mining, Applied mathematics in specific fields