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DMIN
2006
126views Data Mining» more  DMIN 2006»
15 years 6 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
16 years 6 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
136
Voted
IDEAL
2007
Springer
15 years 10 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 10 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
192
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AI
2002
Springer
15 years 4 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