ITEM METADATA RECORD
Title: Clustering and instance based learning in first order logic
Authors: Ramon, Jan # ×
Issue Date: 2002
Publisher: Ios press
Series Title: Artificial Intelligence Communications vol:15 issue:4 pages:217-218
Abstract: Instance based learning and clustering are popular methods in propositional machine learning. Both methods use a notion of similarity between objects. This dissertation investigates these methods in a relational setting. First, a number of new metrics are proposed. Next, these metrics are used to upgrade clustering and instance based learning to first order logic.
ISSN: 0921-7126
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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