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Segmentor3IsBack: an R package for the fast and exact segmentation of
  Seq-data
v1v2v3 (latest)

Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data

25 April 2012
A. Cleynen
Michel Koskas
Émilie Lebarbier
G. Rigaill
Stephane S. Robin
ArXiv (abs)PDFHTML

Papers citing "Segmentor3IsBack: an R package for the fast and exact segmentation of Seq-data"

5 / 5 papers shown
Title
Segmentation of the Poisson and negative binomial rate models: a
  penalized estimator
Segmentation of the Poisson and negative binomial rate models: a penalized estimator
A. Cleynen
Émilie Lebarbier
85
27
0
11 Jan 2013
Discovering Patterns in Biological Sequences by Optimal Segmentation
Discovering Patterns in Biological Sequences by Optimal Segmentation
Joseph Bockhorst
Nebojsa Jojic
30
7
0
20 Jun 2012
A pruned dynamic programming algorithm to recover the best segmentations
  with $1$ to $K_{max}$ change-points
A pruned dynamic programming algorithm to recover the best segmentations with 111 to KmaxK_{max}Kmax​ change-points
G. Rigaill
78
109
0
06 Apr 2010
Estimating the joint distribution of independent categorical variables
  via model selection
Estimating the joint distribution of independent categorical variables via model selection
C. Durot
Émilie Lebarbier
A. Tocquet
79
6
0
12 Jun 2009
Data-driven calibration of penalties for least-squares regression
Data-driven calibration of penalties for least-squares regression
Sylvain Arlot
P. Massart
214
159
0
06 Feb 2008
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