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IPL
2006
89views more  IPL 2006»
15 years 6 months ago
Adaptive general perfectly periodic scheduling
We propose an adaptive algorithm Adaptmin to create perfectly periodic schedules. A perfectly periodic schedule schedules a client regularly after a predefined amount of time known...
Shailesh Patil, Vijay K. Garg
JIFS
2008
155views more  JIFS 2008»
15 years 6 months ago
Improving supervised learning performance by using fuzzy clustering method to select training data
The crucial issue in many classification applications is how to achieve the best possible classifier with a limited number of labeled data for training. Training data selection is ...
Donghai Guan, Weiwei Yuan, Young-Koo Lee, Andrey G...
KAIS
2008
151views more  KAIS 2008»
15 years 6 months ago
Expertise-based peer selection in Peer-to-Peer networks
Abstract. Peer-to-Peer systems have proven to be an effective way of sharing data. Modern protocols are able to efficiently route a message to a given peer. However, determining th...
Peter Haase, Ronny Siebes, Frank van Harmelen
KBS
2006
105views more  KBS 2006»
15 years 6 months ago
Robot docking based on omnidirectional vision and reinforcement learning
We present a system for visual robotic docking using an omnidirectional camera coupled with the actor critic reinforcement learning algorithm. The system enables a PeopleBot robot...
David Muse, Cornelius Weber, Stefan Wermter
MONET
2006
141views more  MONET 2006»
15 years 6 months ago
An Energy-Optimal Algorithm for Neighbor Discovery in Wireless Sensor Networks
We consider sensor networks in which individual nodes with on-board sensing and low-power transmitters and receivers establish connections with neighboring nodes. The overall objec...
Ritesh Madan, Sanjay Lall