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163
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ALT
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. Inductive inference can be considered as one of the fundamental paradigms of algorithmic learning theory. We survey results recently obtained and show their impact to pot...
188
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ECML
2007
Springer
16 years 24 days ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
175
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SEMWEB
2005
Springer
16 years 3 days ago
2005
Springer
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
160
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ECML
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
156
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MLDM
2005
Springer
16 years 4 days ago
2005
Springer
In supervised machine learning, the partitioning of the values (also called grouping) of a categorical attribute aims at constructing a new synthetic attribute which keeps the info...