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 April 26, 2018

This book presents the proceedings of the Conference on Algorithms and Applications (ALAP 2018), which focuses on various areas of computing, like distributed systems and security, big data and analytics and very-large-scale integration (VLSI) design. The book provides solutions to a broad class of problems in diverse areas of algorithms in our daily lives in a world designed for, and increasingly controlled by algorithms.

Posted by **hill0** at April 25, 2018

English | 10 May 2018 | ISBN: 9811081018 | 104 Pages | PDF (True) | 3.26 MB

Posted by **AvaxGenius** at April 16, 2018

English | PDF,EPUB | 2018 | 289 Pages | ISBN : 3319786733 | 10.15 MB

This book covers all the relevant dictionary learning algorithms, presenting them in full detail and showing their distinct characteristics while also revealing the similarities. It gives implementation tricks that are often ignored but that are crucial for a successful program. Besides MOD, K-SVD, and other standard algorithms, it provides the significant dictionary learning problem variations, such as regularization, incoherence enforcing, finding an economical size, or learning adapted to specific problems like classification.

Posted by **step778** at April 20, 2018

2008 | pages: 812 | ISBN: 1848009976 | PDF | 6,4 mb

Posted by **AvaxGenius** at April 18, 2018

English | PDF | 2008 | 159 Pages | ISBN : 1402089740 | 4.63 MB

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Topics covered include Genomic Techniques, Single Nucleotide Polymorphisms, Disease Studies, HapMap Project, Haplotypes, Tag-SNP Selection, Linkage Disequilibrium Map, Gene Regulatory Networks, Dimension Reduction, Feature Selection, Feature Extraction, Principal Component Analysis, Independent Component Analysis, Machine Learning Algorithms, Hybrid Intelligent Techniques, Clustering Algorithms, Graph Algorithms, Numerical Optimization Algorithms, Data Mining Software Comparison, Medical Case Studies, Bioinformatics Projects, and Medical Applications.

Posted by **AvaxGenius** at April 17, 2018

English | PDF | 2005 | 433 Pages | ISBN :3540243267 | 4.07 MB

The subject of this book is the solution of polynomial equations, that is, s- tems of (generally) non-linear algebraic equations. This study is at the heart of several areas of mathematics and its applications. It has provided the - tivation for advances in di?erent branches of mathematics such as algebra, geometry, topology, and numerical analysis. In recent years, an explosive - velopment of algorithms and software has made it possible to solve many problems which had been intractable up to then and greatly expanded the areas of applications to include robotics, machine vision, signal processing, structural molecular biology, computer-aided design and geometric modelling, as well as certain areas of statistics, optimization and game theory, and b- logical networks.