Posted by **nebulae** at Dec. 14, 2016

English | ISBN: 1466586745 | 2014 | 707 pages | PDF | 7 MB

Posted by **roxul** at Aug. 31, 2014

English | ISBN: 1466586745 | 2014 | 707 pages | PDF | 7 MB

Posted by **nebulae** at Dec. 14, 2016

English | ISBN: 1466558210 | 2014 | 652 pages | PDF | 13 MB

Posted by **roxul** at Aug. 31, 2014

English | ISBN: 1466558210 | 2014 | 652 pages | PDF | 13 MB

Posted by **AvaxGenius** at June 2, 2017

English | PDF | 2017 | 355 Pages | ISBN : 3319446827 | 13.7 MB

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of topological structures, all the way to mathematical topologies not previously applied to data analysis.

Posted by **nebulae** at Feb. 20, 2015

English | ISBN: 1118906497 | 2015 | 184 pages | PDF | 2 MB

Posted by **AvaxGenius** at June 21, 2017

English | PDF | 2012 | 81 Pages | ISBN : 1447129776 | 3.2 MB

Entropy Guided Transformation Learning: Algorithms and Applications (ETL) presents a machine learning algorithm for classification tasks. ETL generalizes Transformation Based Learning (TBL) by solving the TBL bottleneck: the construction of good template sets. ETL automatically generates templates using Decision Tree decomposition.

Posted by **roxul** at June 21, 2017

2007 | ISBN: 0898716233 | 466 pages | PDF | 5,7 MB

Posted by **hill0** at June 16, 2017

English | 1 July 2017 | ISBN: 3319446827 | 363 Pages | PDF | 13.62 MB

This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods,

Posted by **hill0** at June 11, 2017

English | 6 Apr. 2017 | ISBN: 3319415727 | 400 Pages | PDF | 11.58 MB

This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field.