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Machine learning algorithms, such as statistical learning theory and Support Vector Machines, are discussed in this informative text. Real case studies based on environmental and pollution data are also included.

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Presented in a comprehensive way, Malliavin Calculus with Applications to Stochastic Partial Differential Equations describes applications of Malliavin calculus to the analysis of probability laws of solutions of stochastic partial differential equations, driven by Gaussian noises that are white in time and colored in space. The text begins with an introduction to this type of calculus based on a general Gaussian space, from finite-dimensional...

This English translation of the successful French edition presents the conception and design of steel and steel-concrete composite bridges, from simple beam bridges to cable supported structures. The book focuses primarily on road bridges, emphasizing the basis of their conception and the fundamentals that must be considered to assure structural safety and serviceability, as well as highlighting the necessary design checks. The principles are ...

Taking a novel, less classical approach to the subject, the authors have written this book with the conviction that signal processing should be fun. Their treatment is less focused on the mathematics and more on the conceptual aspects, allowing students to think about the subject at a higher conceptual level, thus building the foundations for more advanced topics and helping students solve real-world problems. The last chapter pulls together t...