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» An algorithmic approach to knowledge evolution
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CORR
2011
Springer
200views Education» more  CORR 2011»
15 years 1 months ago
Using Feature Weights to Improve Performance of Neural Networks
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
Ridwan Al Iqbal
EVOW
2006
Springer
15 years 10 months ago
The Trade Off Between Diversity and Quality for Multi-objective Workforce Scheduling
In this paper we investigate and compare multi-objective and weighted single objective approaches to a real world workforce scheduling problem. For this difficult problem we consid...
Peter I. Cowling, Nic Colledge, Keshav P. Dahal, S...
CVPR
2009
IEEE
17 years 1 months ago
Cooperative Mapping of Multiple PTZ Cameras in Automated Surveillance Systems
Due to the capacity of pan-tilt-zoom (PTZ) cameras to simultaneously cover a panoramic area and maintain high resolution imagery, researches in automated surveillance systems wi...
Andreas Koschan, Anis Drira, Chung-Chen Chen, Mong...
ICTAI
2006
IEEE
16 years 19 days ago
Outlier Detection Using Random Walks
The discovery of objects with exceptional behavior is an important challenge from a knowledge discovery standpoint and has attracted much attention recently. In this paper, we pre...
H. D. K. Moonesinghe, Pang-Ning Tan
GECCO
2004
Springer
110views Optimization» more  GECCO 2004»
15 years 12 months ago
Using GP to Model Contextual Human Behavior
To create a realistic environment, some simulations require simulated agents with human behavior pattern. Creating such agents with realistic behavior can be a tedious and time con...
Hans Fernlund, Avelino J. Gonzalez