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ACL
2003
15 years 8 months ago
Minimum Error Rate Training in Statistical Machine Translation
Often, the training procedure for statistical machine translation models is based on maximum likelihood or related criteria. A general problem of this approach is that there is on...
Franz Josef Och
CMSB
2009
Springer
16 years 1 months ago
A Bayesian Approach to Model Checking Biological Systems
Recently, there has been considerable interest in the use of Model Checking for Systems Biology. Unfortunately, the state space of stochastic biological models is often too large f...
Sumit Kumar Jha, Edmund M. Clarke, Christopher Jam...
ICANNGA
2009
Springer
134views Algorithms» more  ICANNGA 2009»
16 years 1 months ago
A Generative Model for Self/Non-self Discrimination in Strings
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
Matti Pöllä
ICIP
2005
IEEE
16 years 8 months ago
Active contours on statistical manifolds and texture segmentation
A new approach to active contours on statistical manifolds is presented. The statistical manifolds are 2dimensional Riemannian manifolds that are statistically defined by maps that...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
BMCBI
2007
99views more  BMCBI 2007»
15 years 6 months ago
Statistical significance of cis-regulatory modules
Background: It is becoming increasingly important for researchers to be able to scan through large genomic regions for transcription factor binding sites or clusters of binding si...
Dustin E. Schones, Andrew D. Smith, Michael Q. Zha...