Relatore:
Eduardo Sany Laber
- PUC-Rio, Rio de Janeiro, Brasile
martedì 20 marzo 2018
alle ore
16.30
Sala verde
Decision trees are widely used tools to represent decision making processes. In machine learning they play an important role for classification and regression. Decision trees have been widely employed also in complexity theory, data compression and several other areas of computer science. In this talk we discuss some of these applications and present theoretical results related to the construction of decision trees under different optimisation criteria focusing on diagnosis problems.
Contact person: Ferdinando Cicalese
- Referente
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Referente esterno
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- Data pubblicazione
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13 marzo 2018
