Accounting and Statistical Analyses for Sustainable Development Multiple Perspectives and Information-Theoretic Complexity Reduction
In this book Claudia Lemke develops a comprehensive Multi-Level Sustainable Development Index (MLSDI) that is applicable ...
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Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learing Problems on Edge Devices / Chanchal Chatterjee
Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing ...
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Case Studies in Spatial Point Process Modeling
Point process statistics is successfully used in fields such as material science, human epidemiology, social sciences, animal ...
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Fundamentals of Pattern Recognition and Machine Learning
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern ...
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Geometric Data Analysis
Geometric Data Analysis (GDA) is the name suggested by Stanford University to designate the approach to Multivariate Statistics ...
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Multivariate Statistics: Exercises and Solutions
The first part is devoted to graphical techniques. The second part deals with multivariate random variables and presents ...
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New Developments in Classification and Data Analysis
This volume contains revised versions of selected papers presented during the biannual meeting of the Classification and ...
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Nonlinear Dimensionality Reduction
This book describes existing and advanced methods to reduce the dimensionality of numerical databases. For each method, the ...
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Principal Manifolds for Data Visualization and Dimension Reduction
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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Selected Contributions in Data Analysis and Classification
This was the era of the ?rst university calculation centres that one accessed over a counter. One would deposit cards on ...
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Statistical Methods for Biostatistics and Related Fields
Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also ...
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The Variational Bayes Method in Signal Processing
This is the first book-length treatment of the Variational Bayes (VB) approximation in signal processing. It has been written ...
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