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UAI
1997
15 years 4 months ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
AI
2000
Springer
15 years 3 months ago
Credal networks
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
Fabio Gagliardi Cozman
116
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ACL
2010
15 years 1 months ago
Bilingual Lexicon Generation Using Non-Aligned Signatures
Bilingual lexicons are fundamental resources. Modern automated lexicon generation methods usually require parallel corpora, which are not available for most language pairs. Lexico...
Daphna Shezaf, Ari Rappoport
JALC
2007
90views more  JALC 2007»
15 years 3 months ago
Learning Unary Automata
We determine the complexity of learning problems for unary regular languages. We begin by investigating the minimum consistent dfa (resp. nfa) problem which is known not to be app...
Gregor Gramlich, Ralf Herrmann
PLDI
2012
ACM
13 years 5 months ago
Scalable and precise dynamic datarace detection for structured parallelism
Existing dynamic race detectors suffer from at least one of the following three limitations: (i) space overhead per memory location grows linearly with the number of parallel thre...
Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin...