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Alien Species and Insect Conservation
This overview of the roles of alien species in insect conservation brings together information, evidence and examples from many parts of the world to illustrate their impacts (often severe, but in many cases poorly understood and unpredictable) as one of the primary drivers of species declines, ecological changes and biotic homogenisation. Both accidental and deliberate movements of species are…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-38774-1
- Collation
- XII, 230
- Series Title
- -
- Call Number
- 592 NEW a
The Mathematics Behind Biological Invasions
This book investigates the mathematical analysis of biological invasions. Unlike purely qualitative treatments of ecology, it draws on mathematical theory and methods, equipping the reader with sharp tools and rigorous methodology. Subjects include invasion dynamics, species interactions, population spread, long-distance dispersal, stochastic effects, risk analysis, and optimal responses to in…
- Edition
- -
- ISBN/ISSN
- 978-3-319-32043-4
- Collation
- XVI, 362
- Series Title
- Interdisciplinary Applied Mathematics
- Call Number
- 510
The Mathematical Theory of Time-Harmonic Maxwell's Equations
This book gives a concise introduction to the basic techniques needed for the theoretical analysis of the Maxwell Equations, and filters in an elegant way the essential parts, e.g., concerning the various function spaces needed to rigorously investigate the boundary integral equations and variational equations. The book arose from lectures taught by the authors over many years and can be helpf…
- Edition
- -
- ISBN/ISSN
- 978-3-319-11086-8
- Collation
- XIII, 337
- Series Title
- -
- Call Number
- 510
Machine Learning and Data Mining in Pattern Recognition: 11th International C…
This book constitutes the refereed proceedings of the 11th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2015, held in Hamburg, Germany in July 2015. The 41 full papers presented were carefully reviewed and selected from 123 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to spe…
- Edition
- -
- ISBN/ISSN
- 978-3-319-21024-7
- Collation
- -
- Series Title
- -
- Call Number
- -
Machine Learning and Data Mining Approaches to Climate Science: Proceedings o…
This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is headed. Given its interdisciplinary nature, Climate Informatics offers insights, tools and methods that are increasingly needed in order to understand the climate system, an aspect which in turn has bec…
- Edition
- -
- ISBN/ISSN
- 978-3-319-17220-0
- Collation
- -
- Series Title
- -
- Call Number
- -
Machine Learning Techniques for Gait Biometric Recognition: Using the Ground …
This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for per…
- Edition
- -
- ISBN/ISSN
- 978-3-319-29088-1
- Collation
- -
- Series Title
- -
- Call Number
- -
Alien Introgression in Wheat: Cytogenetics, Molecular Biology, and Genomics
This book provides an overview of the latest advancements in the field of alien introgression in wheat. The discovery and wide application of molecular genetic techniques including molecular markers, in situ hybridization, and genomics has led to a surge in interspecific and intergeneric hybridization in recent decades. The work begins with the taxonomy of cereals, especially of those species w…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-23494-6
- Collation
- X, 385
- Series Title
- -
- Call Number
- 581.15 ALI a
Machine Learning Projects for .NET Developers
Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If…
- Edition
- -
- ISBN/ISSN
- 978-1-4302-6766-9
- Collation
- -
- Series Title
- -
- Call Number
- -
Machine Learning Paradigms: Applications in Recommender Systems
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perform well when negative examples are rare. It is exactly this problem that the authors address in t…
- Edition
- -
- ISBN/ISSN
- 978-3-319-19135-5
- Collation
- -
- Series Title
- -
- Call Number
- -
Machine Learning Meets Medical Imaging: First International Workshop, MLMMI 2…
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- Edition
- -
- ISBN/ISSN
- 978-3-319-27929-9
- Collation
- -
- Series Title
- -
- Call Number
- -
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