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» Genetic Algorithms for Component Analysis
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170
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CNSR
2005
IEEE
210views Communications» more  CNSR 2005»
15 years 5 months ago
A Framework for Self-Management of Hybrid Wireless Networks Using Autonomic Computing Principles
The dramatic increase in the number of mobile subscribers has put a significant resource and service provisioning strain on current cellular networks in particular in terms of mu...
Chong Shen, Dirk Pesch, James Irvine
183
Voted
AI
2002
Springer
15 years 3 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
142
Voted
KDD
2004
ACM
216views Data Mining» more  KDD 2004»
16 years 4 months ago
GPCA: an efficient dimension reduction scheme for image compression and retrieval
Recent years have witnessed a dramatic increase in the quantity of image data collected, due to advances in fields such as medical imaging, reconnaissance, surveillance, astronomy...
Jieping Ye, Ravi Janardan, Qi Li
138
Voted
EVOW
2007
Springer
15 years 7 months ago
Evaluation of Different Metaheuristics Solving the RND Problem
RND (Radio Network Design) is a Telecommunication problem consisting in covering a certain geographical area by using the smallest number of radio antennas achieving the biggest co...
Miguel A. Vega-Rodríguez, Juan Antonio G&oa...
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
15 years 7 months ago
Crossover: the divine afflatus in search
The traditional GA theory is pillared on the Building Block Hypothesis (BBH) which states that Genetic Algorithms (GAs) work by discovering, emphasizing and recombining low order ...
David Iclanzan