Bücher von Jun Wang

Fichtes ,Grundlage der gesamten Wissenschaftslehre' ist ein Buch, das dem Verständnis manche Hürden in den Weg legt. Doch hat die ,Wissenschaftslehre Fichtes' auch eine Entstehungsgeschichte, und eine genaue Betrachtung dieser Geschichte und der sukzessiven textuellen Transformationen in den verschiedenen Versionen, die zur ,Grundlage' geführt haben, kann uns wertvolle Hinweise darauf geben, wie Fichtes >opus magnum< zu verstehen ist. Insbesondere die ,Züricher Vorlesung' - Fichtes erste Version der Wissenschaftslehre, die nur in einer Teilmitschrift aus der Hand Lavaters überliefert ist und erst seit 1996 der Forschung zur Verfügung steht, wurde bislang von der Forschung noch kaum ausgewertet, obwohl sie wichtige Hinweise enthält. Der Autor unternimmt es in seinem Buch, diese Forschungslücke zu füllen. Er untersucht die Züricher Vorlesung, die Programmschrift ,Über den Begriff der Wissenschaftslehre' und schließlich den Beginn der ,Grundlage der gesamten Wissenschaftslehre', um näheren Aufschluss über die Genese von Fichtes Frühphilosophie zu gewinnen.

Big data and human-computer information retrieval (HCIR) are changing IR. They capture the dynamic changes in the data and dynamic interactions of users with IR systems. A dynamic system is one which changes or adapts over time or a sequence of events. Many modern IR systems and data exhibit these characteristics which are largely ignored by conventional techniques. What is missing is an ability for the model to change over time and be responsive to stimulus. Documents, relevance, users and tasks all exhibit dynamic behavior that is captured in data sets typically collected over long time spans and models need to respond to these changes. Additionally, the size of modern datasets enforces limits on the amount of learning a system can achieve. Further to this, advances in IR interface, personalization and ad display demand models that can react to users in real time and in an intelligent, contextual way. In this book we provide a comprehensive and up-to-date introduction to Dynamic Information Retrieval Modeling, the statistical modeling of IR systems that can adapt to change. We define dynamics, what it means within the context of IR and highlight examples of problems where dynamics play an important role. We cover techniques ranging from classic relevance feedback to the latest applications of partially observable Markov decision processes (POMDPs) and a handful of useful algorithms and tools for solving IR problems incorporating dynamics. The theoretical component is based around the Markov Decision Process (MDP), a mathematical framework taken from the field of Artificial Intelligence (AI) that enables us to construct models that change according to sequential inputs. We define the framework and the algorithms commonly used to optimize over it and generalize it to the case where the inputs aren't reliable. We explore the topic of reinforcement learning more broadly and introduce another tool known as a Multi-Armed Bandit which is useful for cases where exploring model parameters is beneficial. Following this we introduce theories and algorithms which can be used to incorporate dynamics into an IR model before presenting an array of state-of-the-art research that already does, such as in the areas of session search and online advertising. Change is at the heart of modern Information Retrieval systems and this book will help equip the reader with the tools and knowledge needed to understand Dynamic Information Retrieval Modeling.

The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), held during June 1-6, 2008 in Hong Kong, China, marked an important milestone in advancing the paradigms of the new fields of computational intelligence. As the fifth event in the series that has spanned the globe (Orlando-1994, Anchorage-1998, Honolulu-2002, Vancouver-2006), the congress offered renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. Most of the congress's program featured regular and special technical sessions that provided participants with new insights into the most recent developments in the field. As a tradition, in addition to the parallel technical sessions, WCCI holds a series of plenary and invited lectures which are not included in the congress proceedings. As its predecessors, at WCCI 2008, 20 expert speakers shared their expertise on broader, if not panoramic, topics spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. Thanks to their time and expertise, we endeavored to offer this volume to attendees directly at the congress and the general public afterwards.

This book shows a panorama of sustainable development practices covering 70 major cities. This book has created the analysis framework of the ¿New Normal¿ of Chinäs economy, demonstrated the features and connotation of the "New Normal", carried out in-depth analysis and systematic study on the connotation and extension of the ¿New Normal¿ of Chinäs economy from ten aspects including growth shift, structural upgrading, innovation drive, regional synergy, moderate inflation, reform bonus, opening-up forced, risk exposure, sustainable development and macro-control in details and proposed targeted policy suggestions with practical application value that adapt to the new normal of China's economy and ensure the sustained, steady and healthy operation of the macro-economy.

Offers insightful knowledge of real-world systems, to bridge the gaps between industry and academia, and to provide an overview of the fundamental infrastructure, algorithms, and technical and research challenges of the new frontier of computational advertising.