381 search results - page 6 / 77 » Establishing Logical Rules from Empirical Data |
SAINT
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
JACM
2010
13 years 6 months ago
2010
Description logics (DLs) and rules are formalisms that emphasize different aspects of knowledge representation: whereas DLs are focused on specifying and reasoning about conceptual...
DIAGRAMS
2004
Springer
14 years 28 days ago
2004
Springer
Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
IFSA
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The paper develops fuzzy attribute logic, i.e. a logic for reasoning about formulas of the form A ⇒ B where A and B are fuzzy sets of attributes. A formula A ⇒ B repr...
FUZZIEEE
2007
IEEE
14 years 1 months ago
2007
IEEE
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...