ABSTRACT In the last few years, power dissipation has become an important design constraint, on par with performance, in the design of new computer systems. Whereas in the past, the primary job of the computer architect was to translate improvements in operating frequency and transistor count into performance, now power efficiency must be taken into account at every step of the design process. While for some time, architects have been successful in delivering 40% to 50% annual improvement in processor performance, costs that were previously brushed aside eventually caught up. The most critical of these costs is the inexorable increase in power dissipation and power density in processors. Power dissipation issues have catalyzed new topic areas in computer architecture, resulting in a substantial body of work on more power-efficient architectures. Power dissipation coupled with diminishing performance gains, was also the main cause for the switch from single-core to multi-core architectures and a slowdown in frequency increase. This book aims to document some of the most important architectural techniques that were invented, proposed, and applied to reduce both dynamic power and static power dissipation in processors and memory hierarchies. A significant number of techniques have been proposed for a wide range of situations and this book synthesizes those techniques by focusing on their common characteristics.

本书系统的介绍了雷达跟踪技术中所采用的卡尔曼滤波这种信号处理技术。

In this book, Dr. Michael Lawton shares his expertise and lessons learnedfrom his years of dedication to vascular neurosurgery. He describes his take onAVMs in the preface as a battle and his book contains many take-home lessons.His presentation is enhanced by the spectacular intraoperative color images andillustrations drawn by Kenneth X. Probst. With no reservations, I highlyrecommend this book to all neurosurgeons. -- Doody's Enterprises,Inc.  This sequel to Dr. Lawton's best-selling Seven Aneurysms focuses onmicrosurgical resection techniques for AVMs found in the lobes and deep regionsof the brain. It categorizes the techniques into subtypes to simplify the broadspectrum of brain AVMs neurosurgeons may encounter. The book is organized intothree sections: The Tenets, which establishes eight steps for AVM resection; TheSeven Arteriovenous Malformations, which describes the anatomical terrain andsurgical strategies for thirty-two AVM subtypes; and The Selection section, inwhich Dr. Lawton discusses what he believes to be the keys to successful AVMsurgery: good patient selection and best application of multiple treatmentmodalities. Key Features: ,解压密码 share.weimo.info

Gmapping SLAM原始论文《Improved Techniques for Grid Mapping with Rao-Blackwellized Particle Filters》，大家可以详细阅读，有需要的可以下载。同时可以参照博客https://blog.csdn.net/i_robots/article/details/108308676

Advanced AI Techniques and Applications in Bioinformatics

经典著作，不用多介绍了。 Most tasks require a person or an automated system to reason--to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this book, provides a general approach for this task. The approach is model-based, allowing interpretable models to be constructed and then manipulated by reasoning algorithms. These models can also be learned automatically from data, allowing the approach to be used in cases where manually constructing a model is difficult or even impossible. Because uncertainty is an inescapable aspect of most real-world applications, the book focuses on probabilistic models, which make the uncertainty explicit and provide models that are more faithful to reality. Probabilistic Graphical Models discusses a variety of models, spanning Bayesian networks, undirected Markov networks, discrete and continuous models, and extensions to deal with dynamical systems and relational data. For each class of models, the text describes the three fundamental cornerstones: representation, inference, and learning, presenting both basic concepts and advanced techniques. Finally, the book considers the use of the proposed framework for causal reasoning and decision making under uncertainty. The main text in each chapter provides the detailed technical development of the key ideas. Most chapters also include boxes with additional material: skill boxes, which describe techniques; case study boxes, which discuss empirical cases related to the approach described in the text, including applications in computer vision, robotics, natural language understanding, and computational biology; and concept boxes, which present significant concepts drawn from the material in the chapter. Instructors (and readers) can group chapters in various combinations, from core topics to more technically advanced material, to suit their particular needs.

Cody's data cleaning techniques using SAS 2nd Edition

MIT press出版，关于程序设计语言原理方面的内容，属于经典教材。

【耶鲁】数据结构与编程技术 这是CPSC 223的课程信息:2021年春季学期的数据结构和编程技术。

优化与学习的随机梯度技术 来自Bernd Heidergott 和Felisa J. Vazquez-Abad 撰写的优化与学习的随机梯度技术，涵盖随机优化与学习理论和梯度估计技术。值得关注