这是我上次发的续集，很详细，很值得看一看

Survival Analysis_Techniques for Censored and Truncated Data_Book

【下载说明】龙书，一个字：你应该读一读（呵呵）。这里提供给你的是该书中/英版的打包下载。英文版为第二版(2006.8出版)，中文版为原书第一版译本（截止Me发帖为止，第二版还没出中文版）。英版为高清晰PDF格式;中版亦PDF，清晰度也很好。因为是两种语言的版本，所以文档大就在所难免，只好分割上传。这是Part2。【内容简介】　　本书深入讨论了编译器设计的重要主题，包括词法分析、语法分析、语法制导分析、类型检查、运行环境、中间代码生成、代码生成、代码优化等，并在最后两章中讨论了实现编译器的一些编程问题和几个编译器实例，每章都提供了大量的练习和参考文献。本书从介绍编译的原理性概念开始，然后通过构建一个简单的一遍编译器来逐一解释这些概念。 本书是编译原理课程的经典教材，作者曾多次使用本书的内容在贝尔实验室、哥伦比亚大学、普林斯顿大学和斯坦福大学向本科生和研究生讲授初等及高等编译课程。 本书作者Alfred V．Aho、Ravi Sethi和Jeffrey D．Ullman是世界著名的计算机 科学家，他们在计算机科学理论、数据库等很多领域都做出了杰出贡献。本书 是编译领域无可替代的经典著作，被广大计算机专业人士誉为“龙书”。本书一 直被世界各地的著名高等院校和科研机构(如贝尔实验室、哥伦比亚大学、普 林斯顿大学和斯坦福大学等)广泛用作本科生和研究生编译原理与技术课程的 教材，本书对我国计算机教育界也具有重大影响。 书中深入讨论了编译器设计的重要主题，包括词法分析、语法分析、语法制 导分析、类型检查、运行环境、中间代码生成、代码生成、代码优化等，并在 最后两章中讨论了实现编译器的一些编程问题和几个编译器实例，而且每章都 提供了大量的练习和参考文献。 本书可以作为高等院校计算机专业本科生和研究生编译原理与技术课程的 教材，也可以作为计算机技术人员必读的专业参考书之一。

C语言逆向编译技术 系统介绍了如果反编译C语言代码的各种细节

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.