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NIPS
1998
13 years 11 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
FSTTCS
2008
Springer
13 years 11 months ago
A Hierarchy of Semantics for Non-deterministic Term Rewriting Systems
ABSTRACT. Formalisms involving some degree of nondeterminism are frequent in computer science. In particular, various programming or specification languages are based on term rewr...
Juan Rodríguez-Hortalá
MMAS
2012
Springer
12 years 5 months ago
Coupled Wideangle Wave Approximations
In this paper we analyze wave propagation in three-dimensional random media. We consider a source with limited spatial and temporal support that generates spherically diverging wav...
Josselin Garnier, Knut Sølna
ICC
2011
IEEE
206views Communications» more  ICC 2011»
12 years 9 months ago
A Stateless Traceback Technique for Identifying the Origin of Attacks from a Single Packet
—Anonymity is one of the main motivations for conducting denial-of-service attacks. Currently, there is no mechanism to either identify the true source of an IP packet or to prov...
Marcelo D. D. Moreira, Rafael P. Laufer, Natalia C...
CSFW
2012
IEEE
12 years 11 days ago
Generic Indifferentiability Proofs of Hash Designs
—In this paper, we propose a formal analysis of domain extenders for hash functions in the indifferentiability framework. We define a general model for domain extenders and prov...
Marion Daubignard, Pierre-Alain Fouque, Yassine La...