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» Optimal spontaneous activity in neural network modeling
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ANNPR
2006
Springer
15 years 1 months ago
Support Vector Regression Using Mahalanobis Kernels
Abstract. In our previous work we have shown that Mahalanobis kernels are useful for support vector classifiers both from generalization ability and model selection speed. In this ...
Yuya Kamada, Shigeo Abe
WSTST
2005
Springer
15 years 3 months ago
Hybrid Neurocomputing for Breast Cancer Detection
Breast cancer is one of the major tumor related cause of death in women. Various artificial intelligence techniques have been used to improve the diagnoses procedures and to aid t...
Yuehui Chen, Ajith Abraham, Bo Yang
ICONIP
1998
14 years 11 months ago
Computing Iterative Roots with Neural Networks
Many real processes are composed of a n-fold repetition of some simpler process. If the whole process can be modelled with a neural network, we present a method to derive a model ...
Lars Kindermann
PPSN
1994
Springer
15 years 2 months ago
A Cooperative Coevolutionary Approach to Function Optimization
A general model for the coevolution of cooperating species is presented. This model is instantiated and tested in the domain of function optimization, and compared with a tradition...
Mitchell A. Potter, Kenneth A. De Jong
SIGMETRICS
2010
ACM
227views Hardware» more  SIGMETRICS 2010»
15 years 2 months ago
Characterizing and modeling user activity on smartphones: summary
In this paper, we present a comprehensive analysis of real smartphone usage during a 6-month study of real user activity on the Android G1 smartphone. Our goal is to study the hig...
Alex Shye, Benjamin Scholbrock, Gokhan Memik, Pete...