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PODS
1994
ACM
138views Database» more  PODS 1994»
14 years 26 days ago
Dyn-FO: A Parallel, Dynamic Complexity Class
Traditionally, computational complexity has considered only static problems. Classical Complexity Classes such as NC, P, and NP are de ned in terms of the complexity of checking {...
Sushant Patnaik, Neil Immerman
NIPS
2008
13 years 10 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink
CORR
2010
Springer
182views Education» more  CORR 2010»
13 years 9 months ago
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Bargaining networks model the behavior of a set of players who need to reach pairwise agreements for making profits. Nash bargaining solutions in this context correspond to soluti...
Yashodhan Kanoria, Mohsen Bayati, Christian Borgs,...
BMCBI
2010
229views more  BMCBI 2010»
13 years 9 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
SIGMETRICS
2008
ACM
111views Hardware» more  SIGMETRICS 2008»
13 years 8 months ago
Hierarchical routing over dynamic wireless networks
Dynamic networks are those where the topology changes over time and therefore efficient routes need to be maintained by frequent updates. Such updates could be costly in terms of ...
Dominique Tschopp, Suhas N. Diggavi, Matthias Gros...