40 search results - page 2 / 8 » Non-parametric Statistical Learning Methods for Inductive Cl... |
SWAP
2008
13 years 6 months ago
2008
Abstract. The limitations of deductive logic-based approaches at deriving operational knowledge from ontologies may be overcome by inductive (instancebased) methods, which are usua...
ESWS
2008
Springer
13 years 6 months ago
2008
Springer
Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We exten...
DAGSTUHL
2004
13 years 6 months ago
2004
Subgroup discovery aims at finding interesting subsets of a classified example set that deviates from the overall distribution. The search is guided by a so-called utility function...
ICTAI
2007
IEEE
13 years 11 months ago
2007
IEEE
The majority of text retrieval and mining techniques are still based on exact feature (e.g. words) matching and unable to incorporate text semantics. Many researchers believe that...
ILP
2007
Springer
13 years 11 months ago
2007
Springer
In this chapter, we describe a view of statistical learning in the inductive logic programming setting based on kernel methods. The relational representation of data and background...