Scalable Uncertainty Management, Christoph Beierle; Alex Dekhtyar
Автор: Sergio Greco Название: Scalable Uncertainty Management ISBN: 3540879927 ISBN-13(EAN): 9783540879923 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in October 2008.
Автор: Vittal Prabhu; Soundar Kumara; Manjunath Kamath Название: Scalable Enterprise Systems ISBN: 1461350522 ISBN-13(EAN): 9781461350521 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Lluis Godo; Andrea Pugliese Название: Scalable Uncertainty Management ISBN: 3642043879 ISBN-13(EAN): 9783642043871 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the papers presented at the Third International Conference on Scalable Uncertainty Management, SUM 2009, in Washington, DC, September 28-30, 2009.
Автор: Schockaert Название: Scalable Uncertainty Management ISBN: 3319458558 ISBN-13(EAN): 9783319458557 Издательство: Springer Рейтинг: Цена: 8106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combinatorial Games: From Theoretical Solving to AI Algorithms.- A Gentle Introduction to Reinforcement Learning.- Possibilistic Graphical Models for Uncertainty Modeling.- On the Explanation of SameAs Statements using Argumentation.- Reasoning with Multiple-Agent Possibilistic Logic.- Incremental Preference Elicitation in Multi-Attribute Domains for Choice and Ranking with the Borda Count.- Graphical Models for Preference Representation: An Overview.- Diffusion of Opinion and Influence.- Fuzzy Labeling for Abstract Argumentation: An Empirical Evaluation.- A Belief-Based Approach to Measuring Message Acceptability.- Intertranslatability of Labeling-based Argumentation Semantics.- Preference Inference Based on Pareto Models.- Persuasion Dialogues via Restricted Interfaces using Probabilistic Argumentation.- Metric Logic Program Explanations for Complex Separator Functions.- A Two-Stage Online Approach for Collaborative Multi-Agent Planning under Uncertainty.- 9-ASP for Computing Repairs with Existential Ontologies.- Probabilistic Reasoning in the Description Logic ALCP with the Principle of Maximum Entropy.- Fuzzy Quantified Structural Queries to Fuzzy Graph Databases.- Reasoning with Data - A New Challenge For AI.- Probabilistic Spatial Reasoning in Constraint Logic Programming.- ChoiceGAPs: Competitive Diffusion as a Massive Multi-Player Game in Social Networks.- Challenges for Efficient Query Evaluation on Structured Probabilistic Data.- Forgetting-Based Inconsistency Measure.- A Possibilistic Multivariate Fuzzy c-Means Clustering Algorithm.- A Measure of Referential Success Based on Alpha-Cuts.- Graded Justification of Arguments via Internal and External Endogenous Features.
Автор: Seraf?n Moral; Olivier Pivert; Daniel S?nchez; Nic Название: Scalable Uncertainty Management ISBN: 3319675818 ISBN-13(EAN): 9783319675817 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 11th International Conference on Scalable Uncertainty Management, SUM 2017, which was held in Granada, Spain, in October 2017.
Описание: The general problem addressed in this book is a large and important one: how to usefully deal with huge storehouses of complex information about real-world situations.
Описание: PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2016 in the special sessions: Agents Behaviours and Artificial Markets (ABAM); Advances on Demand Response and Renewable Energy Sources in Agent Based Smart Grids (ADRESS); Agents and Mobile Devices (AM); Agent Methodologies for Intelligent Robotics Applications (AMIRA); Learning, Agents and Formal Languages (LAFLang); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web Mining and Recommender systems (WebMiRes). The volume also includes the paper accepted for the Doctoral Consortium in PAAMS 2016 and Collocated Events.
Описание: Overviewing problems involved in engineering scalable, elastic, and cost-efficient cloud computing services, this book describes the CloudScale method a description of rescuing tools and the required steps to exploit these tools. With the CloudScale method, software architects can analyze both existing and planned IT services.
Автор: Pradipta Maji; Sushmita Paul Название: Scalable Pattern Recognition Algorithms ISBN: 3319056298 ISBN-13(EAN): 9783319056296 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.
Описание: The application and validation of agent-based models.- Methods, and technologies in a number of key application areas.- In day life and real world, energy and networks, human and trust, markets and bids, models and tools, negotiation and conversation, scalability and resources.
Описание: This book constitutes the refereed proceedings of the seven workshops co-located with the 14th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2016, held in Sevilla, Spain, in June 2016.The 37 full papers presented were carefully reviewed and selected from 77 submissions.
Автор: Pradipta Maji; Sushmita Paul Название: Scalable Pattern Recognition Algorithms ISBN: 3319379658 ISBN-13(EAN): 9783319379654 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.
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