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BMCBI
2006
64views more  BMCBI 2006»
15 years 6 months ago
In silico modelling of hormone response elements
Background: An important step in understanding the conditions that specify gene expression is the recognition of gene regulatory elements. Due to high diversity of different types...
Maria Stepanova, Feng Lin, Valerie C.-L. Lin
ACL
2012
13 years 9 months ago
Pattern Learning for Relation Extraction with a Hierarchical Topic Model
We describe the use of a hierarchical topic model for automatically identifying syntactic and lexical patterns that explicitly state ontological relations. We leverage distant sup...
Enrique Alfonseca, Katja Filippova, Jean-Yves Delo...
SGAI
2007
Springer
16 years 21 days ago
Extending Jess to Handle Uncertainty
Computer scientists are often faced with the challenge of having to model the world and its associated uncertainties. One area in particular where modelling uncertainty is importa...
David Corsar, Derek H. Sleeman, Anne McKenzie
ISIPTA
2005
IEEE
155views Mathematics» more  ISIPTA 2005»
16 years 5 days ago
Estimation of Chaotic Probabilities
A Chaotic Probability model is a usual set of probability measures, M, the totality of which is endowed with an objective, frequentist interpretation as opposed to being viewed as...
Leandro Chaves Rêgo, Terrence L. Fine
CSSC
2010
121views more  CSSC 2010»
15 years 4 months ago
An Efficient Estimation for Switching Regression Models: A Monte Carlo Study
This paper investigates an efficient estimation method for a class of switching regressions based on the characteristic function (CF). We show that with the exponential weighting ...
Dinghai Xu