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» On the sample mean of graphs
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ICPR
2004
IEEE
15 years 11 months ago
A Probabilistic Approach to Learning Costs for Graph Edit Distance
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
Horst Bunke, Michel Neuhaus
ICML
2007
IEEE
15 years 11 months ago
Constructing basis functions from directed graphs for value function approximation
Basis functions derived from an undirected graph connecting nearby samples from a Markov decision process (MDP) have proven useful for approximating value functions. The success o...
Jeffrey Johns, Sridhar Mahadevan
AGTIVE
1999
Springer
15 years 2 months ago
DiTo - A Distribution Tool Based on Graph Rewriting
Abstract. In the paper Support for Design Patterns through Graph Transformation Tools in this volume, we have already outlined the global structure of a tool that allows for the an...
Ansgar Radermacher
INFOCOM
2006
IEEE
15 years 4 months ago
The Internet Dark Matter - on the Missing Links in the AS Connectivity Map
Abstract— The topological structure of the Internet infrastructure is an important and interesting subject that attracted significant research attention in the last few years. A...
Rami Cohen, Danny Raz
90
Voted
AMAI
2004
Springer
15 years 3 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian