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Scalable Pattern Recognition Algorithms, Pradipta Maji; Sushmita Paul


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Автор: Pradipta Maji; Sushmita Paul
Название:  Scalable Pattern Recognition Algorithms
ISBN: 9783319379654
Издательство: Springer
Классификация:




ISBN-10: 3319379658
Обложка/Формат: Paperback
Страницы: 304
Вес: 0.46 кг.
Дата издания: 23.08.2016
Язык: English
Размер: 234 x 156 x 18
Основная тема: Computer Science
Подзаголовок: Applications in Computational Biology and Bioinformatics
Ссылка на Издательство: Link
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Поставляется из: Германии
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.

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: 121110.00 T
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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.

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: 65210.00 T
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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: 59630.00 T
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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.


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: 52170.00 T
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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.

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: 68950.00 T
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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.

Scalable Uncertainty Management

Автор: Sergio Greco
Название: Scalable Uncertainty Management
ISBN: 3540879927 ISBN-13(EAN): 9783540879923
Издательство: Springer
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Цена: 69870.00 T
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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 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: 93160.00 T
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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: 69870.00 T
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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.

Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal,  Contextual and Causal Inference

Автор: Ben Goertzel; Nil Geisweiller; Lucio Coelho; Predr
Название: Real-World Reasoning: Toward Scalable, Uncertain Spatiotemporal, Contextual and Causal Inference
ISBN: 9462390533 ISBN-13(EAN): 9789462390539
Издательство: Springer
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Цена: 93160.00 T
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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.

Scalable Uncertainty Management

Автор: Schockaert
Название: Scalable Uncertainty Management
ISBN: 3319458558 ISBN-13(EAN): 9783319458557
Издательство: Springer
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Цена: 54040.00 T
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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.


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: 149060.00 T
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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.

Pattern Recognition,

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 96550.00 T
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Описание: Considers classical and theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. This book provides an self-contained volume encapsulating this spectrum of information.


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