Segway 2.0 Application Note Datasets

DOI10.5281/zenodo.854778Zenodo854778MaRDI QIDQ6708645

Dataset published at Zenodo repository.

Author name not available (Why is that?)

Publication date: 5 June 2017

Copyright license: No records found.

Description

Learned parameters and resulting segmentationcorresponding to the analyses shown in the Segway 2.0 application note. Directory structure: GMM (datasets corresponding to the mixture of Gaussians analysis) 1-component traindir/ log/ (training log likelihood progression) params/ (learned parameters) identifydir/ segway.bed.gz (segmentation) 3-component traindir/ log/ (traininglog likelihood progression) params/ (learned parameters) identifydir/ segway.bed.gz (segmentation) minibatch-fixed (datasets corresponding to the minibatch learning analysis) fixed/ traindir/ log/ (training and validation log likelihood progression) params/ (learned parameters) minibatch/ traindir/ log/ (training and validation log likelihood progression) params/ (learned parameters) TSS_prediction (datasets corresponding to the TSS prediction analysis) (where k=component number=1-5, n=random start number=1-10) outputs_[date]_k/ traindir/ log/ (training and validation log likelihood progression) params/ (learned parameters) identifydir_n/ segway.bed.gz (segmentation)

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