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ICML
1999
IEEE
14 years 10 months ago
Lazy Bayesian Rules: A Lazy Semi-Naive Bayesian Learning Technique Competitive to Boosting Decision Trees
Lbr is a lazy semi-naive Bayesian classi er learning technique, designed to alleviate the attribute interdependence problem of naive Bayesian classi cation. To classify a test exa...
Zijian Zheng, Geoffrey I. Webb, Kai Ming Ting
SG
2005
Springer
14 years 3 months ago
Visualization Tree, Multiple Linked Analytical Decisions
In this paper we tackle the main problem presented by the majority of Information Visualization techniques, that is, the limited number of data items that can be visualized simulta...
José Fernando Rodrigues Jr., Agma J. M. Tra...
MTA
2010
113views more  MTA 2010»
13 years 8 months ago
Visual event recognition using decision trees
Cédric Simon, Jérôme Meessen, ...
ROBOCUP
2000
Springer
146views Robotics» more  ROBOCUP 2000»
14 years 1 months ago
Observation Strategy for Decision Making Based on Information Criterion
Self localization seems necessary for mobile robot navigation. The conventional method such as geometric reconstruction from landmark observations is generally time-consuming and ...
Noriaki Mitsunaga, Minoru Asada