Scalable Pattern Recognition Algorithms, Pradipta Maji; Sushmita Paul

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: 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: Bishop, Christopher M.
Название: Neural Networks for Pattern Recognition
ISBN: 0198538642 ISBN-13(EAN): 9780198538646
Издательство: Oxford Academ
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Описание: This book is the first to provide a comprehensive account of neural networks from a statistical perspective. Its emphasis is on pattern recognition, which currently represents the area of greatest applicability for neural networks. By focusing on pattern recognition, the book provides a much more extensive treatment of many topics than is available in earlier books.

Автор: Pradipta Maji; Sushmita Paul
Название: Scalable Pattern Recognition Algorithms
ISBN: 3319379658 ISBN-13(EAN): 9783319379654
Издательство: Springer
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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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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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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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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.

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: Vittal Prabhu; Soundar Kumara; Manjunath Kamath
Название: Scalable Enterprise Systems
ISBN: 1461350522 ISBN-13(EAN): 9781461350521
Издательство: Springer
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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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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.