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» Background Knowledge in Concept Graphs
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ECML
1998
Springer
13 years 9 months ago
Learning to Classify X-Ray Images Using Relational Learning
: Image understanding often requires extensive background knowledge. The problem addressed in this paper is such knowledge can be acquired. We discuss how relational machine learni...
Claude Sammut, Tatjana Zrimec
DSS
2006
116views more  DSS 2006»
13 years 5 months ago
Matching knowledge elements in concept maps using a similarity flooding algorithm
Concept mapping systems used in education and knowledge management emphasize flexibility of representation to enhance learning and facilitate knowledge capture. Collections of con...
Byron Marshall, Hsinchun Chen, Therani Madhusudan
ACISICIS
2005
IEEE
13 years 7 months ago
Equivalence of Transforming Non-Linear DACG to Linear Concept Tree
This paper introduces a strategy and its theory proof to transform non-linear concept graph: Directed Acyclic Concept Graph (DACG) into a linear concept tree. The transformation i...
Wenyi Bi, Junping Sun
JUCS
2006
91views more  JUCS 2006»
13 years 5 months ago
Creation and Evaluation of Fuzzy Knowledge-base
: In this paper we give a possible model for handling uncertain information. The concept of fuzzy knowledge-base will be defined as a quadruple of any background knowledge, defined...
Ágnes Achs
BIRTHDAY
2004
Springer
13 years 11 months ago
Universal Actability of and with Knowledge: Managing and Communicating Knowledge with Patterns
Managing and communicating information and knowledge with patterns entail a multitude of assumptions, interests, and validity claims. Patterns are socially constructed, and they m...
Fahri Yetim