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There are many books on various aspects of nonparametric inference such as density estimation, nonparametric regression, bootstrapping, and wavelets methods. But it is hard to ?nd …
Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The …
This book mainly focuses on cloud security and high performance computing for cloud auditing. The book discusses emerging challenges and techniques developed for high performance …
Frontiers of Higher Order Fuzzy Sets, provides a unified representation theorem for higher order fuzzy sets. The book elaborates on the concept of gradual elements and their …
Much of our understanding of the relationships among geometric struc- tures in images is based on the shape of these structures and their relative orientations, positions and …
This is the second edition of a step-by -step tutorial for professionals, researchers and students working in the area of neuroscience in general, and computational neuroscience in …
This book explores recent developments in the theoretical foundations and novel applications of general and interval type-2 fuzzy sets and systems, including: algebraic properties …
In the 1930s, mathematical logicians studied the notion of "e;effective comput- ability"e; using such notions as recursive functions, A-calculus, and Turing machines. The …
Artificial "e;neural networks"e; are widely used as flexible models for classification and regression applications, but questions remain about how the power of these models …
Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of …