Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory ...(展开全部)

Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory ...(展开全部)

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongsi...(展开全部)

Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongsi...(展开全部)

Pattern Recognition and Machine Learning introduces the reader to the latest developments in the field of pattern recognition and machine learning. It has broad coverage on topics related to statistics, computer science, machine learning, data mining, signal processing, computer vision and bioinformatics.

Presents recent developments of key topics in nonlinear programming using a logical and self-contained format. Divided into three sections that deal with convex analysis, optimality conditions and duality, computational techniques. Precise statements of algorithms are given along with convergence analysis. Each chapter contains detailed numerical examples, graphical illustratio...(展开全部)

这本热情洋溢的信息理论基础入门书从经典香农理论到统计学习中的现代应用，为学生进一步学习打下了独特、全面而严谨的基础。本书使用独特的有限块长度方法介绍了数据压缩、信道编码和速率失真理论等核心主题。本书通过超过 210 个课后练习和大量示例，向学生介绍了统计学、机器学习和现代通信理论的当代应用。本书介绍了信息理论方法在统计学习和计算机科学中的应用，例如 f 散度、PAC Bayes 和变分原理、Kolmogorov 度量熵、强数据处理不等式和统计估计的熵上界。本书附有教师解决方案手册和关于信息理论中更专业主题的额外独立章节，是电气工程、统计学和计算机科学专业高年级本科生和研究生的理想入门教科书。 ·系统地处理统计学习和高维统计中的信息论技术 ·为连续和离散变量开发信息论，提供与统计和机器学习应用相关的示例 ·重点关注有限块长度（非渐近）结果，让学生掌握 ...(展开全部)

Trade is a cornerstone concept in economics worldwide. This updated second edition of the essential graduate textbook in international trade brings readers to the forefront of knowledge in the field and prepares students to undertake their own research. In Advanced International Trade, Robert Feenstra integrates the most current theoretical approaches with empirical evidence, a...(展开全部)