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Scalable Uncertainty Management, Nahla Ben Amor; Benjamin Quost; Martin Theobald


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Автор: Nahla Ben Amor; Benjamin Quost; Martin Theobald
Название:  Scalable Uncertainty Management
ISBN: 9783030355135
Издательство: Springer
Классификация:



ISBN-10: 3030355136
Обложка/Формат: Soft cover
Страницы: 452
Вес: 0.71 кг.
Дата издания: 2019
Серия: Lecture Notes in Artificial Intelligence
Язык: English
Издание: 1st ed. 2019
Иллюстрации: 57 illustrations, color; 163 illustrations, black and white; xi, 452 p. 220 illus., 57 illus. in color.
Размер: 234 x 156 x 24
Читательская аудитория: Professional & vocational
Основная тема: Computer Science
Подзаголовок: 13th International Conference, SUM 2019, Compi?gne, France, December 16–18, 2019, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book constitutes the refereed proceedings of the 13th International Conference on Scalable Uncertainty Management, SUM 2019, which was held in Compiegne, France, in December 2019. The 25 full, 4 short, 4 tutorial, 2 invited keynote papers presented in this volume were carefully reviewed and selected from 44 submissions.


Scalable Uncertainty Management

Автор: Lluis Godo; Andrea Pugliese
Название: Scalable Uncertainty Management
ISBN: 3642043879 ISBN-13(EAN): 9783642043871
Издательство: Springer
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Цена: 10480.00 р.
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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.

Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection

Автор: de la Prieta
Название: Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection
ISBN: 3319401580 ISBN-13(EAN): 9783319401584
Издательство: Springer
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Цена: 22359.00 р.
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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.

Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection

Автор: Javier Bajo; Mar?a Jos? Escalona; Sylvain Giroux;
Название: Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection
ISBN: 3319393863 ISBN-13(EAN): 9783319393865
Издательство: Springer
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Цена: 10342.00 р.
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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.

Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection

Автор: Yves Demazeau; Takayuki Ito; Javier Bajo; Maria Jo
Название: Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection
ISBN: 3319393235 ISBN-13(EAN): 9783319393230
Издательство: Springer
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Цена: 7826.00 р.
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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.

Scalable Information Systems

Автор: Peter Mueller; Jiannong Cao; Cho-Li Wang
Название: Scalable Information Systems
ISBN: 3642104843 ISBN-13(EAN): 9783642104848
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Includes the proceedings of the 4th International ICST Conference, INFOSCALE 2009, held in Hong Kong in June 2009. This title features papers that focus on various scalability issues and the approaches to tackle problems arising from the ever growing size and complexity of information.

Scalable Uncertainty Management

Автор: Davide Ciucci; Gabriella Pasi; Barbara Vantaggi
Название: Scalable Uncertainty Management
ISBN: 3030004600 ISBN-13(EAN): 9783030004606
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 12th International Conference on Scalable Uncertainty Management, SUM 2018, which was held in Milan, Italy, in October 2018.

Scalable Uncertainty Management

Автор: Schockaert
Название: Scalable Uncertainty Management
ISBN: 3319458558 ISBN-13(EAN): 9783319458557
Издательство: Springer
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Цена: 8106.00 р.
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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.

Scalable Uncertainty Management

Автор: Seraf?n Moral; Olivier Pivert; Daniel S?nchez; Nic
Название: Scalable Uncertainty Management
ISBN: 3319675818 ISBN-13(EAN): 9783319675817
Издательство: Springer
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Цена: 9781.00 р.
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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.

Scalable Uncertainty Management

Автор: Christoph Beierle; Alex Dekhtyar
Название: Scalable Uncertainty Management
ISBN: 3319235397 ISBN-13(EAN): 9783319235394
Издательство: Springer
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Цена: 8944.00 р.
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Описание:

The mysterious world of normal numbers.- Bayesian Networks.- Probabilistic Query Answering in the Bayesian Description Logic BEL.- The Complexity of Plate Probabilistic Models.- DL-Lite Bayesian Networks: A Tractable Probabilistic Graphical Model.- Probabilistic Models.- State Space Search with Stochastic Costs and Risk Aversion.- On the Impact of Junction-Tree Topology on Weighted Model Counting.- A System for Probabilistic Inductive Answer Set Programming.- Towards Large-Scale Probabilistic OBDA.- Reasoning over Linear Probabilistic Knowledge Bases with Priorities.- Intelligent Data Analytics.- Evenness-based reasoning with logical proportions applied to classification.- Multivariate Cluster-Based Discretization for Bayesian Network Structure Learning.- Modeling and Forecasting Time Series of Compositional Data: A Generalized Dirichlet Power Steady Model.- Linguistic and Graphical Explanation of a Cluster-based Data Structure.- Possibility Theory, Belief Functions and Transformations.- Probability-possibility transformations: Application to credal networks.- Planning in Partially Observable Domains with Fuzzy Epistemic States and Probabilistic Dynamics.- Propagation of Belief Functions in Singly-Connected Hybrid Directed Evidential Networks.- Uncertain logical gates in possibilistic networks. An application to human geography.- Argumentation.- Undercutting in argumentation systems.- Formalizing Explanatory Dialogues.- Towards a dual process cognitive model for argument evaluation.- Change in abstract bipolar argumentation systems.- On argumentation with purely defeasible rules.- Dealing with Inconsistency.- A possibilistic analysis of inconsistency.- First-Order Under-Approximations of Consistent Query Answers.- Using Rules of Thumb for Repairing Inconsistent Answer Set Program.- Applications.- Fuzzy XPath for the Automatic Search of Fuzzy Formulae Models.- ERBlox: Combining Matching Dependencies with Machine Learning for Entity Resolution.- Matching uncertain identities against sparse knowledge.

Scalable Enterprise Systems

Автор: Vittal Prabhu; Soundar Kumara; Manjunath Kamath
Название: Scalable Enterprise Systems
ISBN: 1461350522 ISBN-13(EAN): 9781461350521
Издательство: Springer
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Цена: 13974.00 р.
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Scalable Uncertainty Management

Автор: Sergio Greco
Название: Scalable Uncertainty Management
ISBN: 3540879927 ISBN-13(EAN): 9783540879923
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the Second International Conference on Scalable Uncertainty Management, SUM 2008, held in Naples, Italy, in October 2008.

Scalable Pattern Recognition Algorithms

Автор: Pradipta Maji; Sushmita Paul
Название: Scalable Pattern Recognition Algorithms
ISBN: 3319056298 ISBN-13(EAN): 9783319056296
Издательство: Springer
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Цена: 18167.00 р.
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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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