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DMIN
2006
126views Data Mining» more  DMIN 2006»
14 years 11 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...
ICCV
2007
IEEE
15 years 12 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury
IDEAL
2007
Springer
15 years 4 months ago
PINCoC : A Co-clustering Based Approach to Analyze Protein-Protein Interaction Networks
A novel technique to search for functional modules in a protein-protein interaction network is presented. The network is represented by the adjacency matrix associated with the und...
Clara Pizzuti, Simona E. Rombo
ICDCS
2006
IEEE
15 years 4 months ago
On the Access Pricing Issues of Wireless Mesh Networks
This paper studies the use of pricing as an incentive mechanism to encourage private, self-interested nodes to participate in a public wireless mesh network and cooperate in the p...
Ray K. Lam, John C. S. Lui, Dah-Ming Chiu
AI
2002
Springer
14 years 9 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang