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NIPS
1998
13 years 10 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
EUROPAR
2010
Springer
13 years 9 months ago
cTrust: Trust Aggregation in Cyclic Mobile Ad Hoc Networks
In a Cyclic Mobile Ad Hoc Network (CMANET) where nodes move cyclically, we formulate trust management problems and propose the cTrust scheme to handle trust establishment and aggre...
Huanyu Zhao, Xin Yang, Xiaolin Li
AEI
2005
99views more  AEI 2005»
13 years 8 months ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
TON
2010
89views more  TON 2010»
13 years 7 months ago
Demand-aware content distribution on the internet
—The rapid growth of media content distribution on the Internet in the past few years has brought with it commensurate increases in the costs of distributing that content. Can th...
Srinivas Shakkottai, Ramesh Johari
DAGSTUHL
2006
13 years 10 months ago
A Petri Net Approach to Verify and Debug Simulation Models
Verification and Simulation share many issues, one is that simulation models require validation and verification. In the context of simulation, verification is understood as the ta...
Peter Kemper, Carsten Tepper