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Management and Accounting 2
Chapter1: Financial Management 2 Chapter2: Financial Management 3 Chapter3: Industrial Management 2 Chapter4: IT management 2 Chapter5: Business Management 2 Chapter 6: International Business 2 Chapter 7: Marketing Management 2
On Escape
First published in 1935, On Escape represents Emmanuel Levinas's first attempt to break with the ontological obsession of the Western tradition. In it, Levinas not only affirms the necessity of an escape from being, but also gives a meaning and a direction to it. Beginning with an analysis of need not as lack or some external limit to a self-sufficient being, but as a positive relation to our being, Levinas moves through a series of brilliant phenomenological analyses of such phenomena as pleasure, shame, and nausea in order to show a fundamental insufficiency in the human condition. In his critical introduction and annotation, Jacques Rolland places On Escape in its historical and intellectual context, and also within the context of Levinas's entire oeuvre, explaining Levinas's complicated relation to Heidegger, and underscoring the way Levinas's analysis of "being riveted," of the need for escape, is a meditation on the body.
Metric Learning
Similarity between objects plays an important role in both human cognitive processes and artificial systems for recognition and categorization. How to appropriately measure such similarities for a given task is crucial to the performance of many machine learning, pattern recognition and data mining methods. This book is devoted to metric learning, a set of techniques to automatically learn similarity and distance functions from data that has attracted a lot of interest in machine learning and related fields in the past ten years. In this book, we provide a thorough review of the metric learning literature that covers algorithms, theory and applications for both numerical and structured data....
Energy Storage Systems
Proceedings of the NATO Advanced Study Institute, Çesme, Izmir, Turkey, 27 June-8 July, 1988
Dual Learning
Many AI (and machine learning) tasks present in dual forms, e.g., English-to-Chinese translation vs. Chinese-to-English translation, speech recognition vs. speech synthesis,question answering vs. question generation, and image classification vs. image generation. Dual learning is a new learning framework that leverages the primal-dual structure of AI tasks to obtain effective feedback or regularization signals in order to enhance the learning/inference process. Since it was first introduced four years ago, the concept has attracted considerable attention in multiple fields, and been proven effective in numerous applications, such as machine translation, image-to-image translation, speech syn...
Informatics, Networking and Intelligent Computing
This proceedings volume contains selected papers presented at the 2014 International Conference on Informatics, Networking and Intelligent Computing, held in Shenzhen, China. Contributions cover the latest developments and advances in the field of Informatics, Networking and Intelligent Computing.
Program Synthesis
Program synthesis is the task of automatically finding a program in the underlying programming language that satisfies the user intent expressed in the form of some specification. Since the inception of artificial intelligence in the 1950s, this problem has been considered the holy grail of Computer Science. Despite inherent challenges in the problem such as ambiguity of user intent and a typically enormous search space of programs, the field of program synthesis has developed many different techniques that enable program synthesis in different real-life application domains. It is now used successfully in software engineering, biological discovery, compute-raided education, end-user programm...
Hydraulic Factors in Bridge Design
A handbook for the design engineer which identifies the hydraulic aspects that characterize a river. It provides guidance on assessing their influence on bridge design and examines the various techniques and their use in determining channel stability, water discharge and other outcomes.
Cell-based Biosensors
Written by recognized experts the field, this leading-edge resource is the first book to systematically introduce the concept, technology, and development of cell-based biosensors. You find details on the latest cell-based biosensor models and novel micro-structure biosensor techniques. Taking an interdisciplinary approach, this unique volume presents the latest innovative applications of cell-based biosensors in a variety of biomedical fields. The book also explores future trends of cell-based biosensors, including integrated chips, nanotechnology and microfluidics. Over 140 illustrations help clarify key topics throughout the book.
