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ECML
2006
Springer
15 years 1 months ago
Learning Stochastic Tree Edit Distance
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
Marc Bernard, Amaury Habrard, Marc Sebban
IJCAI
1993
14 years 11 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
ROCAI
2004
Springer
15 years 3 months ago
An Empirical Evaluation of Supervised Learning for ROC Area
We present an empirical comparison of the AUC performance of seven supervised learning methods: SVMs, neural nets, decision trees, k-nearest neighbor, bagged trees, boosted trees,...
Rich Caruana, Alexandru Niculescu-Mizil
ACSAC
2010
IEEE
14 years 7 months ago
Multi-vendor penetration testing in the advanced metering infrastructure
- The advanced metering infrastructure (AMI) is revolutionizing electrical grids. Intelligent AMI "smart meters" report real time usage data that enables efficient energy...
Stephen E. McLaughlin, Dmitry Podkuiko, Sergei Mia...
HASE
1998
IEEE
15 years 2 months ago
Combining Various Solution Techniques for Dynamic Fault Tree Analysis of Computer Systems
Fault trees provide a graphical and logical framework for analyzing the reliability of systems. A fault tree provides a conceptually simple modeling framework to represent the sys...
Ragavan Manian, Joanne Bechta Dugan, David Coppit,...