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Python for Machine Learning
Using clear explanations and step-by-step tutorial lessons, you will learn the underlying mechanics of the Python language, the tools in its ecosystem, tips and tricks, and much more.
Tao Te Ching
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Handbook of the Fundamentals of Financial Decision Making
This handbook in two parts covers key topics of the theory of financial decision making. Some of the papers discuss real applications or case studies as well. There are a number of new papers that have never been published before especially in Part II.Part I is concerned with Decision Making Under Uncertainty. This includes subsections on Arbitrage, Utility Theory, Risk Aversion and Static Portfolio Theory, and Stochastic Dominance. Part II is concerned with Dynamic Modeling that is the transition for static decision making to multiperiod decision making. The analysis starts with Risk Measures and then discusses Dynamic Portfolio Theory, Tactical Asset Allocation and Asset-Liability Manageme...
Multimodal Technologies for Perception of Humans
This book constitutes the thoroughly refereed joint post-workshop proceedings of two co-located events: the Second International Workshop on Classification of Events, Activities and Relationships, CLEAR 2007, and the 5th Rich Transcription 2007 Meeting Recognition evaluation, RT 2007, held in succession in Baltimore, MD, USA, in May 2007. The workshops had complementary evaluation efforts; CLEAR for the evaluation of human activities, events, and relationships in multiple multimodal data domains; and RT for the evaluation of speech transcription-related technologies from meeting room audio collections. The 35 revised full papers presented from CLEAR 2007 cover 3D person tracking, 2D face detection and tracking, person and vehicle tracking on surveillance data, vehicle and person tracking aerial videos, person identification, head pose estimation, and acoustic event detection. The 15 revised full papers presented from RT 2007 are organized in topical sections on speech-to-text, and speaker diarization.
Student Directory
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Proceedings
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Language and Social Change in China
Language and Social Change in China: Undoing Commonness through Cosmopolitan Mandarin offers an innovative and authoritative account of the crucial role of language in shaping the sociocultural landscape of contemporary China. Based on a wide range of data collected since the 1990s and grounded in quantitative and discourse analyses of sociolinguistic variation, Qing Zhang tracks the emergence of what she terms “Cosmopolitan Mandarin” as a new stylistic resource for a rising urban elite and a new middle-class consumption-based lifestyle. The book powerfully illuminates that Cosmopolitan Mandarin participates in dismantling the pre-reform, socialist, conformist society by bringing about new social distinctions. Rich in cultural and linguistic details, the book is the first of its kind to highlight the implications of language change on the social order and cultural life of contemporary China. Language and Social Change in China is ideal for students and scholars interested in sociolinguistics and linguistic anthropology, and Chinese language and society.
Reduce Storage Occupancy and Increase Operations Efficiency with IBM zEnterprise Data Compression
IBM® zEnterprise® Data Compression (zEDC) capability and the Peripheral Component Interconnect Express (PCIe or PCI Express) hardware adapter called zEDC Express were announced in July 2013 as enhancements to the IBM z/OS® V2.1 operating system (OS) and the IBM zEnterprise EC12 (zEC12) and the IBM zEnterprise BC12 (zBC12). zEDC is optimized for use with large sequential files, and uses an industry-standard compression library. zEDC can help to improve disk usage and optimize cross-platform exchange of data with minimal effect on processor usage. The first candidate for such compression was the System Management Facility (SMF), and support for basic sequential access method (BSAM) and queu...
Machine Audition: Principles, Algorithms and Systems
Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made so far are fragmented within these disciplines, lacking connections and incurring potentially overlapping research activities in this subject area. Machine Audition: Principles, Algorithms and Systems contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is useful for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and learn how to build advanced human-computer interactive systems.
