Scalable Pattern Recognition Algorithms, Pradipta Maji; Sushmita Paul

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

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

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: 13974.00 р.
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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.

Автор: Sergios Theodoridis
Название: Pattern Recognition,
ISBN: 1597492728 ISBN-13(EAN): 9781597492720
Издательство: Elsevier Science
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Цена: 14483.00 р.
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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.

Автор: Kumar
Название: Correlation Pattern Recognition
ISBN: 0521153484 ISBN-13(EAN): 9780521153485
Издательство: Cambridge Academ
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Описание: This book provides a needed review of the diverse background material needed for correlation pattern recognition, developing the signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. Includes case studies of interest, such as face and fingerprint recognition. For graduate students and practitioners.

Автор: Brian D. Ripley
Название: Pattern Recognition and Neural Networks
ISBN: 0521717701 ISBN-13(EAN): 9780521717700
Издательство: Cambridge Academ
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Описание: This 1996 book is a reliable account of the statistical framework for pattern recognition and machine learning. Valuable advice is included on both theory and applications, while case studies based on real data sets help readers develop their understanding. All data sets are available from www.stats.ox.ac.uk/~ripley/PRbook/

Автор: Sergios Theodoridis
Название: Introduction to Pattern Recognition: A Matlab Approach,
ISBN: 0123744865 ISBN-13(EAN): 9780123744869
Издательство: Elsevier Science
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Описание: An accompanying manual to "Theodoridis/Koutroumbas, Pattern Recognition", that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.

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.

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.

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.

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.

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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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.