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SSPR
2000
Springer
13 years 11 months ago
Prototype Learning with Attributed Relational Graphs
An algorithm for learning structural patterns given in terms of Attributed Relational Graphs (ARG's) is presented. The algorithm, based on inductive learning methodologies, pr...
Pasquale Foggia, Roberto Genna, Mario Vento
ICMLA
2004
13 years 9 months ago
Satisficing Q-learning: efficient learning in problems with dichotomous attributes
In some environments, a learning agent must learn to balance competing objectives. For example, a Q-learner agent may need to learn which choices expose the agent to risk and whic...
Michael A. Goodrich, Morgan Quigley
VISUALIZATION
1999
IEEE
13 years 11 months ago
New Quadric Metric for Simplifying Meshes with Appearance Attributes
Complex triangle meshes arise naturally in many areas of computer graphics and visualization. Previous work has shown that a quadric error metric allows fast and accurate geometri...
Hugues Hoppe
APVIS
2007
13 years 9 months ago
GraphScape: integrated multivariate network visualization
In this paper, we introduce a new method, GraphScape, to visualize multivariate networks, i.e., graphs with multivariate data associated with their nodes. GraphScape adopts a land...
Kai Xu 0003, Andrew Cunningham, Seok-Hee Hong, Bru...
ENTCS
2006
161views more  ENTCS 2006»
13 years 7 months ago
Overview of Formal Concepts for Model Transformations Based on Typed Attributed Graph Transformation
In this paper we give an overview of formal concepts for model transformations between visual languages based on typed attributed graph transformation. We start with a basic conce...
Hartmut Ehrig, Karsten Ehrig