VORTRAG: Prof.Dr. Miroslav Kubat "MULTI-LABEL HIERARCHICAL CLASSIFICATION"

Wien (OTS) - 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.

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

 "MULTI-LABEL HIERARCHICAL CLASSIFICATION"

 Datum:   18.6.2013, um 18:30 Uhr
 Ort:     Österreichisches Forschungsinstitut für Artificial
          Intelligence (OFAI)
          Freyung 6/6/7, 1010 Wien
 Url:     www.ofai.at

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