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AI
1998
Springer
13 years 7 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
SRDS
2003
IEEE
14 years 26 days ago
2003
IEEE
How will a virus propagate in a real network? Does an epidemic threshold exist for a finite powerlaw graph, or any finite graph? How long does it take to disinfect a network giv...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
LATIN
2004
Springer
14 years 29 days ago
2004
Springer
Time synchronization is necessary in many distributed systems, but achieving synchronization in sensornets, which combine stringent precision requirements with severe resource con...
JUCS
2008
13 years 7 months ago
2008
: In communication systems that guarantee seamless mobility of users across service areas, repeated attempts occur as a result of user behavior but also as automatic retries of blo...