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Perceptual Organization in Vision: Behavioral and Neural Perspectives

Posted By: step778
Perceptual Organization in Vision: Behavioral and Neural Perspectives

Ruth Kimchi, Marlene Behrmann, Carl R. Olson, "Perceptual Organization in Vision: Behavioral and Neural Perspectives"
2003 | pages: 488 | ISBN: 0805838732 | PDF | 8,0 mb

Multi-disciplinary Trends in Artificial Intelligence [Repost]

Posted By: tanas.olesya
Multi-disciplinary Trends in Artificial Intelligence  [Repost]

Multi-disciplinary Trends in Artificial Intelligence (Lecture Notes in Computer Science) by M. Narasimha Murty
English | 6 Nov. 2014 | ISBN: 3319133640 | 260 Pages | PDF | 7 MB

The papers feature a wide range of topics covering both theory, methods and tools as well as their diverse applications in numerous domains.

Recurrent Neural Networks

Posted By: hill0
Recurrent Neural Networks

Recurrent Neural Networks by Xiaolin Hu and P. Balasubramaniam
English | 2008 | ISBN: 9789537619084 | 400 Pages | PDF | 45.23 MB

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Posted By: AvaxGenius
Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python

Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python By Santanu Pattanayak
English | PDF,EPUB | 2017 | 412 Pages | ISBN : 1484230957 | 22.77 MB

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own.

SAP Fiori Implementation and Development

Posted By: First1
SAP Fiori Implementation and Development

SAP Fiori Implementation and Development by Anil Bavaraju
English | December 8th, 2016 | ISBN: 1493212486 | 1051 Pages | EPUB | 28.01 MB

Modernize your user experience with this guide to developing and implementing SAP Fiori applications! Begin by installing and configuring the system for SAP Fiori. Then learn to implement transactional, analytical, and fact sheet apps on an AS ABAP or SAP HANA database. Customize further by creating, developing, and extending your apps using the SAP Web IDE environment.

An Introduction to Machine Learning

Posted By: AvaxGenius
An Introduction to Machine Learning

An Introduction to Machine Learning By Miroslav Kubat
English | EPUB | 2015 | 291 Pages | ISBN : 3319200097 | 2.66 MB

This book presents basic ideas of machine learning in a way that is easy to understand, by providing hands-on practical advice, using simple examples, and motivating students with discussions of interesting applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines.

Artificial Neural Networks in Biomedicine

Posted By: DZ123
Artificial Neural Networks in Biomedicine

Paulo J.G. Lisboa, Emmanuel C. Ifeachor, Piotr S. Szczepaniak, "Artificial Neural Networks in Biomedicine"
English | 2000 | ISBN: 1852330058 | PDF | pages: 303 | 18.9 mb

Artificial Intelligence and Symbolic Computation [Repost]

Posted By: tanas.olesya
Artificial Intelligence and Symbolic Computation [Repost]

Artificial Intelligence and Symbolic Computation (Lecture Notes in Computer Science) by Gonzalo A. Aranda-Corral
English | 20 Nov. 2014 | ISBN: 3319137697 | 216 Pages | PDF | 9 MB

The papers address all current aspects in the area of symbolic computing and AI: basic concepts of computability and new Turing machines; logics including non-classical ones; reasoning; learning; decision support systems;…

Создаем нейронную сеть

Posted By: igor_lv
Создаем нейронную сеть

Создаем нейронную сеть - Тарик Рашид
2017 | ISBN: 5990944578 | PDF | 272 pages | 43 Mb

Maximum-Entropy Networks: Pattern Detection, Network Reconstruction and Graph Combinatorics

Posted By: hill0
Maximum-Entropy Networks: Pattern Detection, Network Reconstruction and Graph Combinatorics

Maximum-Entropy Networks: Pattern Detection, Network Reconstruction and Graph Combinatorics (SpringerBriefs in Complexity) by Tiziano Squartini
English | 4 Dec. 2017 | ISBN: 3319694367 | 120 Pages | PDF | 3.31 MB

This book is an introduction to maximum-entropy models of random graphs with given topological properties and their applications. Its original contribution is the reformulation of many seemingly different problems in the study

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Posted By: AvaxGenius
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction By Jesus Soto
English | PDF,EPUB | 2017 (2018 Edition) | 103 Pages | ISBN : 3319712632 | 9.15 MB

This book focuses on the fields of hybrid intelligent systems based on fuzzy systems, neural networks, bio-inspired algorithms and time series. This book describes the construction of ensembles of Interval Type-2 Fuzzy Neural Networks models and the optimization of their fuzzy integrators with bio-inspired algorithms for time series prediction. Interval type-2 and type-1 fuzzy systems are used to integrate the outputs of the Ensemble of Interval Type-2 Fuzzy Neural Network models. Genetic Algorithms and Particle Swarm Optimization are the Bio-Inspired algorithms used for the optimization of the fuzzy response integrators.

Advances in Feature Selection for Data and Pattern Recognition

Posted By: ksveta6
Advances in Feature Selection for Data and Pattern Recognition

Advances in Feature Selection for Data and Pattern Recognition (Intelligent Systems Reference Library) by Urszula Stańczyk,‎ Beata Zielosko,‎ Lakhmi C. Jain
2017 | ISBN: 3319675877 | English | 328 pages | PDF | 10 MB

Classification in BioApps: Automation of Decision Making

Posted By: AvaxGenius
Classification in BioApps: Automation of Decision Making

Classification in BioApps: Automation of Decision Making By Nilanjan Dey
English | PDF,EPUB | 2017 (2018 Edition) | 435 Pages | ISBN : 3319659804 | 22.31 MB

This book on classification in biomedical image applications presents original and valuable research work on advances in this field, which covers the taxonomy of both supervised and unsupervised models, standards, algorithms, applications and challenges.

Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition

Posted By: First1
Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition

Using MPI: Portable Parallel Programming with the Message Passing Interface, 2nd Edition by William Gropp,‎ Ewing Lusk,‎ Anthony Skjellum
English | November 12th, 1999 | ISBN: 0262256282, 0262571048 | 396 Pages | PDF | 6.98 MB

A tutorial on how to use Message-Passing Interface (MPI), the standard for communication subroutine libraries, to write parallel programs, particularly for large-scale applications. Covers background and basic concepts, MPI in C, using communicators, the Poisson problem, scalability, message passing, parallel libraries, and parallel I/O. Other topics include portability among MPP systems, use of MPI on workstation networks, and converting existing codes to MPI. Appendices list MPE multiprocessing environment functions. Annotation copyright Book News, Inc. Portland, Or.

Neural Information Processing

Posted By: AvaxGenius
Neural Information Processing

Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14–18, 2017, Proceedings, Part V by Derong Liu
English | PDF | 2017 | 942 Pages | ISBN : 331970138X | 64.03 MB

The six volume set LNCS 10634, LNCS 10635, LNCS 10636, LNCS 10637, LNCS 10638, and LNCS 10639 constitues the proceedings of the 24rd International Conference on Neural Information Processing, ICONIP 2017, held in Guangzhou, China, in November 2017. The 563 full papers presented were carefully reviewed and selected from 856 submissions.