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ICML
1995
IEEE
14 years 8 months ago
Visualizing High-Dimensional Structure with the Incremental Grid Growing Neural Network
Understanding high-dimensional real world data usually requires learning the structure of the data space. The structure maycontain high-dimensional clusters that are related in co...
Justine Blackmore, Risto Miikkulainen
CEC
2010
IEEE
13 years 8 months ago
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
Yanghui Wu, John A. W. McCall, David W. Corne
IJCNN
2000
IEEE
13 years 12 months ago
Supervised Scaled Regression Clustering: An Alternative to Neural Networks
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
Mark J. Embrechts, Dirk Devogelaere, Marcel Rijcka...
JCIT
2008
104views more  JCIT 2008»
13 years 7 months ago
Research and Design on Personalized Learning System Based on Mobile Agent
In view of students' individual difference in the learning process, in this paper we propose a personalized learning system, to which intelligent Agent technique and case-bas...
Yang He-biao, Chen Yu-kun, Wang Jue, Liu Zhi-hong
SENSYS
2004
ACM
14 years 1 months ago
Hardware design experiences in ZebraNet
The enormous potential for wireless sensor networks to make a positive impact on our society has spawned a great deal of research on the topic, and this research is now producing ...
Pei Zhang, Christopher M. Sadler, Stephen A. Lyon,...