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UAI
2000
13 years 10 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
DLOG
1996
13 years 10 months ago
Resolving Semantic Heterogeneity in Databases with a Terminological Model: Correspondence Refinement
The success of schema integration in multidatabase systems relies heavily on the determination of complete and refined correspondence relationships between them. So, the candidate...
Ounissa Larab, Aïcha-Nabila Benharkat
UAI
1993
13 years 10 months ago
Probabilistic Assumption-Based Reasoning
In this paper the classical propositional assumption-based model is extended to incorporate probabilities for the assumptions. Then the whole model is placed into the framework of...
Jürg Kohlas, Paul-André Monney
ACL
1990
13 years 10 months ago
Lexical and Syntactic Rules in a Tree Adjoining Grammar
according to this definition2. Each elementary tree is constrained to have at least one terminal at its frontier which serves as 'head' (or 'anchor'). Sentence...
Anne Abeillé
CRYPTO
2010
Springer
157views Cryptology» more  CRYPTO 2010»
13 years 9 months ago
Oblivious RAM Revisited
We reinvestigate the oblivious RAM concept introduced by Goldreich and Ostrovsky, which enables a client, that can store locally only a constant amount of data, to store remotely ...
Benny Pinkas, Tzachy Reinman