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» Breeding Decision Trees Using Evolutionary Techniques
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VMV
2008
107views Visualization» more  VMV 2008»
14 years 11 months ago
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
Erik Rodner, Joachim Denzler
ISSRE
2007
IEEE
14 years 11 months ago
Using Machine Learning to Support Debugging with Tarantula
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
Lionel C. Briand, Yvan Labiche, Xuetao Liu
ICRA
2000
IEEE
121views Robotics» more  ICRA 2000»
15 years 1 months ago
Using Multiple Gaussian Hypotheses to Represent Probability Distributions for Mobile Robot Localization
A new mobile robot localization technique is presented which uses multiple Gaussian hypotheses to represent the probability distribution of the robots location in the environment....
David J. Austin, Patric Jensfelt
IJCAI
2001
14 years 11 months ago
Neural Logic Network Learning using Genetic Programming
Neural Logic Network or Neulonet is a hybrid of neural network expert systems. Its strength lies in its ability to learn and to represent human logic in decision making using comp...
Chew Lim Tan, Henry Wai Kit Chia
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 4 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey