Posted by **sasha82** at Dec. 26, 2015

2016 | ISBN: 1466568577 | English | 332 pages | PDF | 14 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 **hill0** at April 25, 2018

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

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

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

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.

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 **AvaxGenius** at Feb. 15, 2018

The purpose of this book is to acquaint the reader with the developments in bilinear systems theory and its applications. Bilinear systems can be used to represent a wide range of physical, chemical, biological, and social systems, as well as manufacturing processes, which cannot be effectively modeled under the assumption of linearity. This book provides a unified approach for the identification and control of nonlinear complex objects that can be transformed into bilinear systems, with a focus on the control of open physical processes functioning in a non-equilibrium mode.

Posted by **AvaxGenius** at Feb. 5, 2018

Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications.

Posted by **hill0** at Feb. 5, 2018

English | 24 Sept. 2017 | ISBN: 9811036799 | 284 Pages | PDF | 4.16 MB

Posted by **exLib** at Jan. 31, 2018

ITexLi | 2018 | ISBN: 9535137735 9789535137733 9535137727 9789535137726 | 182 pages | PDF | 13 MB

This book is prepared as a combination of the manuscripts submitted by respected mathematicians and scientists around the world. Not only will the methods and explanations help you to understand more about graph theory, but I also hope you will find it joyful to discover ways that you can apply graph theory in your scientific field.