Prof. Dr. Miroslav Kubat, University of Miami, U. S. A.

Lecture
                               V O R T R A G
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence(OFAI) der OSGK
Freyung 6/6, A-1010 Wien
Tel: +43-1-5336112-17,  Fax: +43-1-5336112-77, Email: sec@ofai.at

Prof.Dr. Miroslav Kubat 
Department of Electrical & Computer Engineering 
University of Miami, U.S.A.

"MULTI-LABEL HIERARCHICAL CLASSIFICATION"

Perhaps the most common machine-learning task is induction of
classifiers from pre-classified training examples described by vectors
or attribute values. The classifier's task is then to label a future
object with the (single) class it belongs to. In many realistic
domains, however, such object belongs to several classes at the same
time; moreover there can be thousands of different classes, and they
are often inter-related in ways captured by generalization trees or DAG
graphs. What we need, then, is a Multi-Label Hierarchical Classifier.
This, however, brings about certain difficulties that need to be
understood. 
The talk discusses the problem of performance evaluation in
domains of this kind, and then describes a novel system based on the
now-popular support-vector machines. Experiments with real-world
domains from the field of gene-function prediction then illustrate
diverse aspects of this tool. 

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Time: Tuesday, 18th June 2013, 6.30 p.m. sharp

Location:  Oesterreichisches Forschungsinstitut
fuer Artificial Intelligence, OFAI
Freyung 6, Stiege 6, 1010 Wien


OESTERREICHISCHES FORSCHUNGSINSTITUT
FUER ARTIFICIAL INTELLIGENCE

Univ.-Prof. Ing. Dr. Robert Trappl


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