A robust hidden semi-Markov model with application to aCGH data processing

J Ding, S Shah - International Journal of Data Mining and …, 2013 - inderscienceonline.com
Hidden semi-Markov models are effective at modelling sequences with succession of
homogenous zones by choosing appropriate state duration distributions. To compensate for …
被引用次数：5 相关文章

A robust hidden semi-Markov model with application to aCGH data processing

J Ding, S Shah - International journal of data mining and …, 2013 - pubmed.ncbi.nlm.nih.gov
Hidden semi-Markov models are effective at modelling sequences with succession of
homogenous zones by choosing appropriate state duration distributions. To compensate for …

A robust hidden semi-Markov model with application to aCGH data processing

J Ding, S Shah - International Journal of Data Mining and Bioinformatics, 2013 - dl.acm.org
Hidden semi-Markov models are effective at modelling sequences with succession of
homogenous zones by choosing appropriate state duration distributions. To compensate for …

A robust hidden semi-Markov model with application to aCGH data processing.

J Ding, S Shah - International Journal of Data Mining and …, 2013 - europepmc.org
Hidden semi-Markov models are effective at modelling sequences with succession of
homogenous zones by choosing appropriate state duration distributions. To compensate for …

A robust hidden semi-Markov model with application to aCGH data processing

J Ding, S Shah - International Journal of Data Mining and …, 2013 - inderscience.com
Hidden semi-Markov models are effective at modelling sequences with succession of
homogenous zones by choosing appropriate state duration distributions. To compensate for …