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» Predicting Success in Machine Translation
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BMCBI
2006
152views more  BMCBI 2006»
13 years 7 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
B
2007
Springer
14 years 1 months ago
Augmenting B with Control Annotations
Abstract. CSP B is an integration of the process algebra Communicating Sequential Processes (CSP), and the B-Method, which enables consistent controllers to be written for B machin...
Wilson Ifill, Steve A. Schneider, Helen Treharne
FSMNLP
2008
Springer
13 years 9 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
BMCBI
2006
150views more  BMCBI 2006»
13 years 7 months ago
Instance-based concept learning from multiclass DNA microarray data
Background: Various statistical and machine learning methods have been successfully applied to the classification of DNA microarray data. Simple instance-based classifiers such as...
Daniel P. Berrar, Ian Bradbury, Werner Dubitzky
MICCAI
2010
Springer
13 years 6 months ago
Sparse Bayesian Learning for Identifying Imaging Biomarkers in AD Prediction
Abstract. We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer’s disease (AD) classification to make accura...
Li Shen, Yuan Qi, Sungeun Kim, Kwangsik Nho, Jing ...