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NIPS
2000
13 years 10 months ago
Discovering Hidden Variables: A Structure-Based Approach
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koll...
SSDBM
2008
IEEE
107views Database» more  SSDBM 2008»
14 years 3 months ago
ProUD: Probabilistic Ranking in Uncertain Databases
There are a lot of application domains, e.g. sensor databases, traffic management or recognition systems, where objects have to be compared based on vague and uncertain data. Feat...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
TACAS
2010
Springer
212views Algorithms» more  TACAS 2010»
13 years 6 months ago
Assume-Guarantee Verification for Probabilistic Systems
Abstract. We present a compositional verification technique for systems that exhibit both probabilistic and nondeterministic behaviour. We adopt an assume-guarantee approach to ver...
Marta Z. Kwiatkowska, Gethin Norman, David Parker,...
SIGIR
2009
ACM
14 years 3 months ago
Named entity recognition in query
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li
SUM
2009
Springer
14 years 1 months ago
Compression of Probabilistic XML Documents
Database techniques to store, query and manipulate data that contains uncertainty receives increasing research interest. Such UDBMSs can be classified according to their underlyin...
Irma Veldman, Ander de Keijzer, Maurice van Keulen