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ARTS
1999
Springer
15 years 1 months ago
ProbVerus: Probabilistic Symbolic Model Checking
Model checking can tell us whether a system is correct; probabilistic model checking can also tell us whether a system is timely and reliable. Moreover, probabilistic model checkin...
Vicky Hartonas-Garmhausen, Sérgio Vale Agui...
ACL
2010
14 years 7 months ago
Learning Common Grammar from Multilingual Corpus
We propose a corpus-based probabilistic framework to extract hidden common syntax across languages from non-parallel multilingual corpora in an unsupervised fashion. For this purp...
Tomoharu Iwata, Daichi Mochihashi, Hiroshi Sawada
79
Voted
CIMCA
2005
IEEE
15 years 3 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
SIGIR
2008
ACM
14 years 9 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
119
Voted
AAAI
2007
14 years 12 months ago
Logical Generative Models for Probabilistic Reasoning about Existence, Roles and Identity
In probabilistic reasoning, the problems of existence and identity are important to many different queries; for example, the probability that something that fits some description...
David Poole