Free Download Approximate Degree in Classical and Quantum Computing
by Mark Bun;Justin Thaler;
English | 2023 | ISBN: 1638281408 | 203 pages | True PDF | 36.57 MB
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Free Download Foundations of Computational Intelligence: Volume 2 Approximate Reasoning by Aboul-Ella Hassanien, Ajith Abraham, Francisco Herrera
English | PDF | 2009 | 313 Pages | ISBN : 3642015328 | 13.37 MB
Foundations of Computational Intelligence Volume 2: Approximation Reasoning: Theoretical Foundations and Applications Human reasoning usually is very approximate and involves various types of - certainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on t- ory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for - proximation reasoning.
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Free Download Approximate Arithmetic Circuit Architectures for FPGA-based Systems
English | 2023 | ISBN: 3031212932 | 190 Pages | PDF EPUB (True) | 35 MB
This book presents various novel architectures for FPGA-optimized accurate and approximate operators, their detailed accuracy and performance analysis, various techniques to model the behavior of approximate operators, and thorough application-level analysis to evaluate the impact of approximations on the final output quality and performance metrics. As multiplication is one of the most commonly used and computationally expensive operations in various error-resilient applications such as digital signal and image processing and machine learning algorithms, this book particularly focuses on this operation. The book starts by elaborating on the various sources of error resilience and opportunities available for approximations on various layers of the computation stack. It then provides a detailed description of the state-of-the-art approximate computing-related works and highlights their limitations.
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