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» First-order probabilistic inference
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ACL
2010
13 years 8 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
DCC
2011
IEEE
13 years 4 months ago
Deplump for Streaming Data
We present a general-purpose, lossless compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the infere...
Nicholas Bartlett, Frank Wood
SIGMOD
2009
ACM
180views Database» more  SIGMOD 2009»
14 years 10 months ago
Indexing correlated probabilistic databases
With large amounts of correlated probabilistic data being generated in a wide range of application domains including sensor networks, information extraction, event detection etc.,...
Bhargav Kanagal, Amol Deshpande
AUSAI
2004
Springer
14 years 3 months ago
MML Inference of Oblique Decision Trees
We propose a multivariate decision tree inference scheme by using the minimum message length (MML) principle (Wallace and Boulton, 1968; Wallace and Dowe, 1999). The scheme uses MM...
Peter J. Tan, David L. Dowe
UAI
2008
13 years 11 months ago
Inference for Multiplicative Models
The paper introduces a generalization for known probabilistic models such as log-linear and graphical models, called here multiplicative models. These models, that express probabi...
Ydo Wexler, Christopher Meek