Learn IT - Springer

Analysis of Phylogenetics and Evolution with R (Use R!)

Springer, 2011

Phylogenetics is the science of the evolutionary relationships among species. Recently, the term has come to include broader issues such as estimating rates of evolution, dating divergence among species, reconstructing ancestral characters, or quantifying adaptation, all these using phylogenies as frameworks. ...

Bayesian Networks in R: with Applications in Systems Biology (Use R!)

Springer, 2013

While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...

Graphs, Networks and Algorithms (Algorithms and Computation in Mathematics)

Springer, 2010

This is the third edition of the classic textbook on the subject. With its clear writing, strong organization, and comprehensive coverage of essential theory it is like a personal guide through this important topic, and now has lots of extra material.

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Numerical Methods for the Life Scientist: Binding and Enzyme Kinetics Calculated with GNU Octave and MATLAB

Springer, 2011

Enzyme kinetics, binding kinetics and pharmacological dose-response curves are currently analyzed by a few standard methods. Some of these, like Michaelis-Menten enzyme kinetics, use plausible approximations, others, like Hill equations for dose-response curves, are outdated. Calculating realistic reaction schemes requires numerical...

Sensors: Theory, Algorithms, and Applications (Springer Optimization and Its Applications)

Springer, 2011

In recent years, technological advances have resulted in the rapid development of a new exciting research direction – the interdisciplinary use of sensors for data collection, systems analysis, and monitoring. Application areas include military surveillance, environmental screening, computational neuroscience,...

Computational Geometry: Algorithms and Applications, Second Edition

Springer, 2000

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational...

Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)

Springer, 2012

Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects...

Innovations for Shape Analysis: Models and Algorithms (Mathematics and Visualization)

Springer, 2013

The concept of 'shape' is at the heart of image processing and computer vision, yet researchers still have some way to go to replicate the human brain's ability to extrapolate meaning from the most basic of outlines. This volume reflects the advances of the last decade, which have also opened up tough new challenges in...

Data Mining in Biomedicine (Springer Optimization and Its Applications)

Springer, 2007

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive...

R Through Excel: A Spreadsheet Interface for Statistics, Data Analysis, and Graphics (Use R!)

Springer, 2009

In this book, the authors build on RExcel, a free add-in for Excel that can be downloaded from the R distribution network. RExcel seamlessly integrates the entire set of R's statistical and graphical methods into Excel, allowing students to focus on statistical methods and concepts and minimizing the distraction of learning a new...

Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)

Springer, 2012

This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques,...

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Springer, 2010

Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception...

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