Exploring Representation in Evolutionary Level Design, Ashlock, Daniel
Автор: Hamilton, William L. Название: Graph Representation Learning ISBN: 3031004604 ISBN-13(EAN): 9783031004605 Издательство: Springer Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis.This book provides a synthesis and overview of graph representation learning.
Описание: This book explores the relationship between multiplicity and representation of non-European and European-American cultures, with a focus on comics and superheroes.
Автор: Gian Piero Zarri Название: Representation and Management of Narrative Information ISBN: 1849967237 ISBN-13(EAN): 9781849967235 Издательство: Springer Рейтинг: Цена: 21661.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Written from a multidisciplinary perspective, this book supplies an exhaustive description of NKRL and of the associated knowledge representation principles. It also constitutes an invaluable source of reference for practitioners, researchers and graduates.
Автор: Carolyn Cocca Название: Superwomen: Gender, Power, and Representation ISBN: 1501316575 ISBN-13(EAN): 9781501316579 Издательство: Bloomsbury Academic Рейтинг: Цена: 4592.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Winner of the 2017 Eisner Award in the Best Academic/Scholarly Work category 2017 Prose Awards Honorable Mention, Media & Cultural Studies Over the last 75 years, superheroes have been portrayed most often as male, heterosexual, white, and able-bodied. Today, a time when many of these characters are billion-dollar global commodities, there are more female superheroes, more queer superheroes, more superheroes of color, and more disabled superheroes--but not many more. Superwomen investigates how and why female superhero characters have become more numerous but are still not-at-all close to parity with their male counterparts; how and why they have become a flashpoint for struggles over gender, sexuality, race, and disability; what has changed over time and why in terms of how these characters have been written, drawn, marketed, purchased, read, and reacted to; and how and why representations of superheroes matter, particularly to historically underrepresented and stereotyped groups. Specifically, the book explores the production, representations, and receptions of prominent transmedia female superheroes from their creation to the present: Wonder Woman; Batgirl and Oracle; Ms. Marvel and Captain Marvel; Buffy the Vampire Slayer; Star Wars’ Padme Amidala, Leia Organa, Jaina Solo, and Rey; and X-Men’s Jean Grey, Storm, Kitty Pryde, Rogue, and Mystique. It analyzes their changing portrayals in comics, novels, television shows, and films, as well as how cultural narratives of gender have been negotiated through female superheroes by creators, consumers, and parent companies over the last several decades.
Автор: Jamnik Название: Diagrammatic Representation and Inference ISBN: 3319423320 ISBN-13(EAN): 9783319423326 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book constitutes the refereed proceedings of the 9th International
Conference on the Theory and Application of Diagrams, Diagrams 2016,
held in Philadelphia, PA, USA, in August 2016.
The 12 revised full papers and 11 short papers presented together with 5 posters were carefully reviewed and selected from 48 submissions. The papers are organized in the following topical sections: cognitive aspects of diagrams; logic and diagrams; Euler and Venn diagrams; diagrams and education; design principles for diagrams; diagrams layout.
Автор: Bergman, Michael K. Название: A knowledge representation practionary ISBN: 3319980912 ISBN-13(EAN): 9783319980911 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This major work on knowledge representation is based on the writings of Charles S. Peirce, a logician, scientist, and philosopher of the first rank at the beginning of the 20th century. This book follows Peirce's practical guidelines and universal categories in a structured approach to knowledge representation that captures differences in events, entities, relations, attributes, types, and concepts. Besides the ability to capture meaning and context, the Peircean approach is also well-suited to machine learning and knowledge-based artificial intelligence. Peirce is a founder of pragmatism, the uniquely American philosophy.
Knowledge representation is shorthand for how to represent human symbolic information and knowledge to computers to solve complex questions. KR applications range from semantic technologies and knowledge management and machine learning to information integration, data interoperability, and natural language understanding. Knowledge representation is an essential foundation for knowledge-based AI.
This book is structured into five parts. The first and last parts are bookends that first set the context and background and conclude with practical applications. The three main parts that are the meat of the approach first address the terminologies and grammar of knowledge representation, then building blocks for KR systems, and then design, build, test, and best practices in putting a system together. Throughout, the book refers to and leverages the open source KBpedia knowledge graph and its public knowledge bases, including Wikipedia and Wikidata. KBpedia is a ready baseline for users to bridge from and expand for their own domain needs and applications. It is built from the ground up to reflect Peircean principles.
This book is one of timeless, practical guidelines for how to think about KR and to design knowledge management (KM) systems. The book is grounded bedrock for enterprise information and knowledge managers who are contemplating a new knowledge initiative.
This book is an essential addition to theory and practice for KR and semantic technology and AI researchers and practitioners, who will benefit from Peirce's profound understanding of meaning and context.
Автор: Zhengming Ding; Handong Zhao; Yun Fu Название: Learning Representation for Multi-View Data Analysis ISBN: 3030007332 ISBN-13(EAN): 9783030007331 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their similarity, and differences based on data organization and problem settings, as well as the research goal.A comprehensive review exhaustively provides the key recent research on multi-view data analysis, i.e., multi-view clustering, multi-view classification, zero-shot learning, and domain adaption. More practical challenges in multi-view data analysis are discussed including incomplete, unbalanced and large-scale multi-view learning. Learning Representation for Multi-View Data Analysis covers a wide range of applications in the research fields of big data, human-centered computing, pattern recognition, digital marketing, web mining, and computer vision.
Автор: Oliver Kramer Название: A Brief Introduction to Continuous Evolutionary Optimization ISBN: 3319034219 ISBN-13(EAN): 9783319034218 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces heuristics and algorithms for black box optimization with evolutionary algorithms in continuous solution spaces. It presents heuristic extensions that allow optimization in constrained, multimodal and multi-objective solution spaces.
Автор: Michel Chein; Marie-Laure Mugnier Название: Graph-based Knowledge Representation ISBN: 1849967695 ISBN-13(EAN): 9781849967693 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized.
Автор: John-Jules Meyer; Jan M. Broersen Название: Knowledge Representation for Agents and Multi-Agent Systems ISBN: 3642053009 ISBN-13(EAN): 9783642053009 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First International Workshop KRAMAS 2008 Sydney Australia September 17 2008 Revised Selected Papers. .
Автор: Ashok K Goel; Mateja Jamnik; N Hari Narayanan Название: Diagrammatic Representation and Inference ISBN: 364214599X ISBN-13(EAN): 9783642145995 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Theory and Application of Diagrams, Diagrams 2010, held in Portland, OR, USA, in August 2010.
Автор: Kate Douglas; Anna Poletti Название: Life Narratives and Youth Culture ISBN: 113755116X ISBN-13(EAN): 9781137551160 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book considers the largely under-recognised contribution that young writers have made to life writing genres such as memoir, letter writing and diaries, as well as their innovative use of independent and social media.
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