Analysis And Visualization Of Discrete Data Using Neural Networks

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Author :
Publisher : World Scientific
ISBN 13 : 981128363X
Total Pages : 230 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Analysis And Visualization Of Discrete Data Using Neural Networks by : Koji Koyamada

Download or read book Analysis And Visualization Of Discrete Data Using Neural Networks written by Koji Koyamada and published by World Scientific. This book was released on 2024-01-22 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as a comprehensive step-by-step guide on data analysis and statistical analysis. It covers fundamental operations in Excel, such as table components, formula bar, and ribbon, and introduces visualization techniques and PDE derivation using Excel. It also provides an overview of Google Colab, including code and text cells, and explores visualization and deep learning applications.Key features of the book include topics like statistical analysis, regression analysis, optimization, correlation analysis, and neural networks. It adopts a practical approach by providing examples and step-by-step instructions for learners to apply the techniques to real-world problems.The book also highlights the strengths and features of both Excel and Google Colab, allowing learners to leverage the capabilities of each platform. The clear explanations of concepts, visual aids, and code snippets aid comprehension help learners understand the principles of data analysis and statistical analysis. Overall, this book serves as a valuable resource for professionals, researchers, and students seeking to develop skills in data analysis, regression statistics, optimization, and advanced modeling techniques using Excel, Colab, and neural networks.

Similarity-Based Clustering

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Publisher : Springer Science & Business Media
ISBN 13 : 3642018041
Total Pages : 211 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Similarity-Based Clustering by : Thomas Villmann

Download or read book Similarity-Based Clustering written by Thomas Villmann and published by Springer Science & Business Media. This book was released on 2009-06-02 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the outcome of the Dagstuhl Seminar on "Similarity-Based Clustering" held at Dagstuhl Castle, Germany, in Spring 2007. In three chapters, the three fundamental aspects of a theoretical background, the representation of data and their connection to algorithms, and particular challenging applications are considered. Topics discussed concern a theoretical investigation and foundation of prototype based learning algorithms, the development and extension of models to directions such as general data structures and the application for the domain of medicine and biology. Similarity based methods find widespread applications in diverse application domains, including biomedical problems, but also in remote sensing, geoscience or other technical domains. The presentations give a good overview about important research results in similarity-based learning, whereby the character of overview articles with references to correlated research articles makes the contributions particularly suited for a first reading concerning these topics.

Data Warehousing and Knowledge Discovery

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Author :
Publisher : Springer
ISBN 13 : 3540448012
Total Pages : 374 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Data Warehousing and Knowledge Discovery by : Yahiko Kambayashi

Download or read book Data Warehousing and Knowledge Discovery written by Yahiko Kambayashi and published by Springer. This book was released on 2003-06-30 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Warehousing and Knowledge Discovery technology is emerging as a key technology for enterprises that wish to improve their data analysis, decision support activities, and the automatic extraction of knowledge from data. The objective of the Third International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2001) was to bring together researchers and practitioners to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data warehousing and knowledge discovery systems. The scope of the papers covered the most recent and relevant topics in the areas of association rules, mining temporal patterns, data mining techniques, collaborative filtering, Web mining, visualization, matchmaking, evelopment and maintenance of data warehouses, OLAP, and distributed data warehouses. These proceedings contain the technical papers selected for presentation at the conference. We received more than 90 papers from over 20 countries, and the program committee finally selected 34 papers. The conference program included one invited talk: “Knowledge Management in Heterogeneous Data Warehouse Environments” by Professor Larry Kerschberg, George Mason University, USA.

Using Neural Networks in the Mapping of Mixed Discrete/Continuous Design Spaces With Application to Structural Design

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Publisher :
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4.:/5 (227 download)

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Book Synopsis Using Neural Networks in the Mapping of Mixed Discrete/Continuous Design Spaces With Application to Structural Design by :

Download or read book Using Neural Networks in the Mapping of Mixed Discrete/Continuous Design Spaces With Application to Structural Design written by and published by . This book was released on 1994 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this task was to extend recent research efforts in order to evaluate the suitability of using artificial neural networks to provide quantitative design space representations for structural concepts with combined continuous and discrete design variables. For a simple structural problem containing both discrete and continuous design variables it was demonstrated that the character of the design space could be well represented with a relatively small amount of training data. It was also shown that design methods are available which can be used for mixed discrete/continuous design variable problems. These methods are however limited by the discontinuous nature of the discrete design problem and by the ability to predict system characteristics in an efficient manner. Using an approach with feed-forward, back-propagation neural networks an efficient method for the design of mixed discrete/continuous systems can be obtained. Neural networks, Structural design, Design variables, Finite, Element analysis, Optimization.

Computational Social Science in the Age of Big Data

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Author :
Publisher : Herbert von Halem Verlag
ISBN 13 : 3869622687
Total Pages : 462 pages
Book Rating : 4.8/5 (696 download)

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Book Synopsis Computational Social Science in the Age of Big Data by : Martin Welker

Download or read book Computational Social Science in the Age of Big Data written by Martin Welker and published by Herbert von Halem Verlag. This book was released on 2018-02-19 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Der Sammelband Computational Social Science in the Age of Big Data beschäftigt sich mit Konzepten, Methoden, Tools und Anwendungen (automatisierter) datengetriebener Forschung mit sozialwissenschaftlichem Hintergrund. Der Fokus des Bandes liegt auf der Etablierung der Computational Social Science (CSS) als aufkommendes Forschungs- und Anwendungsfeld. Es werden Beiträge international namhafter Autoren präsentiert, die forschungs- und praxisrelevante Themen dieses Bereiches besprechen. Die Herausgeber forcieren dabei einen interdisziplinären Zugang zum Feld, der sowohl Online-Forschern aus der Wissenschaft wie auch aus der angewandten Marktforschung einen Einstieg bietet.

Cognitive Science, Computational Intelligence, and Data Analytics

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Publisher : Elsevier
ISBN 13 : 0443160791
Total Pages : 334 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Cognitive Science, Computational Intelligence, and Data Analytics by : Vikas Khare

Download or read book Cognitive Science, Computational Intelligence, and Data Analytics written by Vikas Khare and published by Elsevier. This book was released on 2024-06-10 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems. The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. Demystifies the theory of data analytics using a step-by-step approach Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications

Feature Engineering and Selection

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Author :
Publisher : CRC Press
ISBN 13 : 1351609467
Total Pages : 266 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Feature Engineering and Selection by : Max Kuhn

Download or read book Feature Engineering and Selection written by Max Kuhn and published by CRC Press. This book was released on 2019-07-25 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results.

Artificial Neuronal Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 3642570305
Total Pages : 391 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis Artificial Neuronal Networks by : Sovan Lek

Download or read book Artificial Neuronal Networks written by Sovan Lek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, an easily understandable account of modelling methods with artificial neuronal networks for practical applications in ecology and evolution is provided. Special features include examples of applications using both supervised and unsupervised training, comparative analysis of artificial neural networks and conventional statistical methods, and proposals to deal with poor datasets. Extensive references and a large range of topics make this book a useful guide for ecologists, evolutionary ecologists and population geneticists.

Artificial Neural Networks and Machine Learning – ICANN 2021

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Author :
Publisher : Springer Nature
ISBN 13 : 3030863808
Total Pages : 703 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2021 by : Igor Farkaš

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2021 written by Igor Farkaš and published by Springer Nature. This book was released on 2021-09-10 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt: The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as model compression, multi-task and multi-label learning, neural network theory, normalization and regularization methods, person re-identification, recurrent neural networks, and reinforcement learning. *The conference was held online 2021 due to the COVID-19 pandemic.

Graph Representation Learning

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Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Representation Learning by : William L. William L. Hamilton

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Intelligent Imaging and Analysis

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Publisher : MDPI
ISBN 13 : 3039219200
Total Pages : 492 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Intelligent Imaging and Analysis by : DaeEun Kim

Download or read book Intelligent Imaging and Analysis written by DaeEun Kim and published by MDPI. This book was released on 2020-03-05 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning. Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches. This Special Issue focuses on the latest developments of learning-based intelligent imaging techniques and subsequent analyses, which include photographic imaging, medical imaging, detection, segmentation, medical diagnosis, computer vision, and vision-based robot control. These latest technological developments will be shared through this Special Issue for the various researchers who are involved with imaging itself, or are using image data and analysis for their own specific purposes.

Statistical Language and Speech Processing

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Publisher : Springer
ISBN 13 : 3319459252
Total Pages : 152 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Statistical Language and Speech Processing by : Pavel Král

Download or read book Statistical Language and Speech Processing written by Pavel Král and published by Springer. This book was released on 2016-09-20 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 4th International Conference on Statistical Language and Speech Processing, SLSP 2016, held in Pilsen, Czech Republic, in October 2016. The 11 full papers presented together with two invited talks were carefully reviewed and selected from 38 submissions. The papers cover topics such as anaphora and coreference resolution; authorship identification, plagiarism and spam filtering; computer-aided translation; corpora and language resources; data mining and semantic web; information extraction; information retrieval; knowledge representation and ontologies; lexicons and dictionaries; machine translation; multimodal technologies; natural language understanding; neural representation of speech and language; opinion mining and sentiment analysis; parsing; part-of-speech tagging; question and answering systems; semantic role labeling; speaker identification and verification; speech and language generation; speech recognition; speech synthesis; speech transcription; speech correction; spoken dialogue systems; term extraction; text categorization; test summarization; user modeling.

Artificial Neural Networks in Pattern Recognition

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Publisher : Springer Science & Business Media
ISBN 13 : 3540699384
Total Pages : 327 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Artificial Neural Networks in Pattern Recognition by : Lionel Prevost

Download or read book Artificial Neural Networks in Pattern Recognition written by Lionel Prevost and published by Springer Science & Business Media. This book was released on 2008-06-25 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.

Using Computational Intelligence for the Dark Web and Illicit Behavior Detection

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Publisher : IGI Global
ISBN 13 : 1668464454
Total Pages : 336 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Using Computational Intelligence for the Dark Web and Illicit Behavior Detection by : Rawat, Romil

Download or read book Using Computational Intelligence for the Dark Web and Illicit Behavior Detection written by Rawat, Romil and published by IGI Global. This book was released on 2022-05-06 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

Scientific and Technical Aerospace Reports

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Publisher :
ISBN 13 :
Total Pages : 702 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Scientific and Technical Aerospace Reports by :

Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Topology in Real-World Machine Learning and Data Analysis

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Author :
Publisher : Frontiers Media SA
ISBN 13 : 2832504124
Total Pages : 229 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Topology in Real-World Machine Learning and Data Analysis by : Kathryn Hess

Download or read book Topology in Real-World Machine Learning and Data Analysis written by Kathryn Hess and published by Frontiers Media SA. This book was released on 2022-11-07 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters

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Author :
Publisher : IGI Global
ISBN 13 : 1605662151
Total Pages : 504 pages
Book Rating : 4.6/5 (56 download)

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Book Synopsis Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters by : Nitta, Tohru

Download or read book Complex-Valued Neural Networks: Utilizing High-Dimensional Parameters written by Nitta, Tohru and published by IGI Global. This book was released on 2009-02-28 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher.