Chinese Lexical Semantics, Jia-Fei Hong; Yangsen Zhang; Pengyuan Liu

Автор: Derek Anderson; Robert Niewiadomski
Название: Cultural and social implications of artificial intelligence in education /
ISBN: 1522577939 ISBN-13(EAN): 9781522577935
Издательство: Mare Nostrum (Eurospan)
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Цена: 154660.00 T
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Описание: Artificial intelligence serves as a catalyst for transformation in the field of education. This shift in the educational paradigm has a profound impact on the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Cultural and Social Implications of Artificial Intelligence in Education addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as ethics, critical thinking, and augmented intelligence and is designed for educators, academicians, administrators, researchers, and professionals.

Автор: Diego Perez Liebana, Simon M. Lucas, Raluca D. Gaina, Julian Togelius, Ahmed Khalifa, Jialin Liu
Название: General Video Game Artificial Intelligence
ISBN: 1681736446 ISBN-13(EAN): 9781681736440
Издательство: Mare Nostrum (Eurospan)
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Цена: 77610.00 T
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Описание: Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates. The present book, written by the developers and organizers of the framework, presents the most interesting highlights of the research performed by the authors during these years in this domain. It showcases work on methods to play the games, generators of content, and video game optimization. It also outlines potential further work in an area that offers multiple research directions for the future.

Автор: Rina Dechter
Название: Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms
ISBN: 1681734907 ISBN-13(EAN): 9781681734903
Издательство: Mare Nostrum (Eurospan)
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Цена: 72070.00 T
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Описание: Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning, diagnosis and prediction, design, hardware and software verification, and bioinformatics. These problems can be stated as the formal tasks of constraint satisfaction and satisfiability, combinatorial optimization, and probabilistic inference. It is well known that the tasks are computationally hard, but research during the past three decades has yielded a variety of principles and techniques that significantly advanced the state of the art. This book provides comprehensive coverage of the primary exact algorithms for reasoning with such models. The main feature exploited by the algorithms is the model's graph. We present inference-based, message-passing schemes (e.g., variable-elimination) and search-based, conditioning schemes (e.g., cycle-cutset conditioning and AND/OR search). Each class possesses distinguished characteristics and in particular has different time vs. space behavior. We emphasize the dependence of both schemes on few graph parameters such as the treewidth, cycle-cutset, and (the pseudo-tree) height. The new edition includes the notion of influence diagrams, which focus on sequential decision making under uncertainty. We believe the principles outlined in the book would serve well in moving forward to approximation and anytime-based schemes. The target audience of this book is researchers and students in the artificial intelligence and machine learning area, and beyond.

Автор: Alex Lui, Anna Farzinder, Mingboo Gong
Название: Transforming Healthcare with Big Data and AI
ISBN: 164113898X ISBN-13(EAN): 9781641138987
Издательство: Mare Nostrum (Eurospan)
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Цена: 87780.00 T
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Описание: The past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities. This book examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field.

Автор: Alexander Gelbukh; Olga Kolesnikova
Название: Semantic Analysis of Verbal Collocations with Lexical Functions
ISBN: 3642436331 ISBN-13(EAN): 9783642436338
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book shows how collocations can be annotated with lexical functions in a computer readable dictionary, allowing precise semantic analysis in texts and effective use in such natural language applications as parsers, computer-aided learning and more.

Автор: Walter J. Scheirer
Название: Extreme Value Theory-Based Methods for Visual Recognition
ISBN: 1627057005 ISBN-13(EAN): 9781627057004
Издательство: Turpin
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Цена: 68930.00 T
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Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.

Автор: Emmanouel Garoufallou; Imma Subirats Coll; Armando
Название: Metadata and Semantics Research
ISBN: 3319491563 ISBN-13(EAN): 9783319491561
Издательство: Springer
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Цена: 63350.00 T
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Описание: This book constitutes the refereed proceedings of the 10th Metadata and Semantics Research Conference, MTSR 2016, held in G?ttingen, Germany, in November 2016. The 26 full papers and 6 short papers presented were carefully reviewed and selected from 67 submissions. The papers are organized in several sessions and tracks: Digital Libraries, Information Retrieval, Linked and Social Data, Metadata and Semantics for Open Repositories, Research Information Systems and Data Infrastructures, Metadata and Semantics for Agriculture, Food and Environment, Metadata and Semantics for Cultural Collections and Applications, European and National Projects.

Автор: Jia-Fei Hong; Qi Su; Jiun-Shiung Wu
Название: Chinese Lexical Semantics
ISBN: 3030040143 ISBN-13(EAN): 9783030040147
Издательство: Springer
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Цена: 93160.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 19th Chinese Lexical Semantics Workshop, CLSW 2018, held in Chiayi, Taiwan, in May 2018. The 50 full papers and 19 short papers included in this volume were carefully reviewed and selected from 150 submissions. They are organized in the following topical sections: Lexical Semantics; Applications of Natural Language Processing; Lexical Resources; Corpus Linguistics.

Автор: Dong
Название: Chinese Lexical Semantics
ISBN: 3319495070 ISBN-13(EAN): 9783319495071
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book constitutes the thoroughly refereed post-workshop proceedings of the 17th Chinese Lexical Semantics Workshop, CLSW 2016, held in Singapore, Singapore, in May 2016. The 70 regular papers included in this volume were carefully reviewed and selected from 182 submissions.

Автор: Xinchun Su; Tingting He
Название: Chinese Lexical Semantics
ISBN: 3319143301 ISBN-13(EAN): 9783319143309
Издательство: Springer
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Цена: 59630.00 T
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Описание: This book constitutes the proceedings of the 15 Chinese Lexical Semantics Workshop, CLSW 2014, held in Macau, China, in June 2014.The 41 regular and 3 short papers included in this volume were carefully reviewed and selected from 139 submissions. They are organized in topical sections named: lexical semantics;

Автор: Qin Lu; Hong Gao
Название: Chinese Lexical Semantics
ISBN: 3319271938 ISBN-13(EAN): 9783319271934
Издательство: Springer
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Цена: 81990.00 T
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Описание: This book constitutes the thoroughly refereedpost-workshop proceedings of the 16th Chinese Lexical Semantics Workshop, CLSW2015, held in Beijing, China, in May 2015. The 64 regular and 4 short papers included in this volumewere carefully reviewed and selected from 248 submissions.

Автор: Pengyuan Liu; Qi Su
Название: Chinese Lexical Semantics
ISBN: 3642451845 ISBN-13(EAN): 9783642451843
Издательство: Springer
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Цена: 46570.00 T
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Описание: This book constitutes the refereed selected papers from the 14th Chinese Lexical Semantics Workshop, CLSW 2013, held in Zhengzhou, China, in May 2013. The 68 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 153 submissions.