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CONTEXT
2007
Springer
14 years 4 months ago
OCCAM: Ontology-Based Computational Contextual Analysis and Modeling
The ability to model cognitive agents depends crucially on being able to encode and infer with contextual information at many levels (such as situational, psychological, social, or...
Srini Narayanan, Katie Sievers, Steven J. Maiorano
ICGI
1994
Springer
14 years 2 months ago
Computer Assisted Grammar Construction
: This paper proposes a new inference approach for Chinese probabilistic context-free grammar, which implements the EM algorithm based on the bracket matching schemes. By utilizing...
S. J. Young, H.-H. Shih
SDM
2004
SIAM
142views Data Mining» more  SDM 2004»
13 years 11 months ago
Learning to Read Between the Lines: The Aspect Bernoulli Model
We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
Ata Kabán, Ella Bingham, T. Hirsimäki
EMNLP
2007
13 years 11 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
SIGMOD
2011
ACM
202views Database» more  SIGMOD 2011»
13 years 24 days ago
Sensitivity analysis and explanations for robust query evaluation in probabilistic databases
Probabilistic database systems have successfully established themselves as a tool for managing uncertain data. However, much of the research in this area has focused on efficient...
Bhargav Kanagal, Jian Li, Amol Deshpande