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CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 8 months ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
CORR
2010
Springer
143views Education» more  CORR 2010»
13 years 8 months ago
Opportunistic Routing in Ad Hoc Networks: How many relays should there be? What rate should nodes use?
Opportunistic routing is a multi-hop routing scheme which allows for selection of the best immediately available relay. In blind opportunistic routing protocols, where transmitters...
Joseph Blomer, Nihar Jindal
CORR
2010
Springer
138views Education» more  CORR 2010»
13 years 8 months ago
On building minimal automaton for subset matching queries
We address the problem of building an index for a set D of n strings, where each string location is a subset of some finite integer alphabet of size , so that we can answer effici...
Kimmo Fredriksson
CORR
2010
Springer
101views Education» more  CORR 2010»
13 years 8 months ago
Distributed anonymous discrete function computation
We propose a model for deterministic distributed function computation by a network of identical and anonymous nodes. In this model, each node has bounded computation and storage c...
Julien M. Hendrickx, Alexander Olshevsky, John N. ...
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 8 months ago
Probabilistic regular graphs
Deterministic graph grammars generate regular graphs, that form a structural extension of configuration graphs of pushdown systems. In this paper, we study a probabilistic extensio...
Nathalie Bertrand, Christophe Morvan