Classification and Modeling with Linguistic Information Granules

Classification and Modeling with Linguistic Information Granules PDF Author: Hisao Ishibuchi
Publisher: Springer Science & Business Media
ISBN: 3540268758
Category : Language Arts & Disciplines
Languages : en
Pages : 308

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Book Description
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

Classification and Modeling with Linguistic Information Granules

Classification and Modeling with Linguistic Information Granules PDF Author: Hisao Ishibuchi
Publisher: Springer Science & Business Media
ISBN: 3540268758
Category : Language Arts & Disciplines
Languages : en
Pages : 308

Get Book Here

Book Description
Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

Swarm Intelligence in Data Mining

Swarm Intelligence in Data Mining PDF Author: Ajith Abraham
Publisher: Springer
ISBN: 3540349561
Category : Computers
Languages : en
Pages : 276

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Book Description
This volume examines the application of swarm intelligence in data mining, addressing the issues of swarm intelligence and data mining using novel intelligent approaches. The book comprises 11 chapters including an introduction reviewing fundamental definitions and important research challenges. Important features include a detailed overview of swarm intelligence and data mining paradigms, focused coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and contributions by pioneers in the field.

Methodological and Technological Advances in Death Investigations

Methodological and Technological Advances in Death Investigations PDF Author: Ann H Ross
Publisher: Academic Press
ISBN: 0128193956
Category : Law
Languages : en
Pages : 380

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Book Description
Methodological and Technological Advances in Death Investigations: Application and Case Studies focuses on advancements in both methods and technology in death investigations. Specifically, in the areas of latent fingerprints, facial recognition, wildlife forensics, using aerial vehicles and 3D-ID. The combination of national and international authors and a discussion of the state of forensic science over a decade after the National Academies 2009 Report, Strengthening Forensic Science in the United States: A Path Forward, further highlights the boundaries, limitations and context in which these newer technologies and applications act synergistically to enhance forensic science. - Synthesizes new and emerging technologies to put them in perspective for researchers and practitioners, such as facial recognition, using aerial vehicles and 3D-ID - Includes case studies throughout that explain how certain advanced technologies impact investigations - Fills a gap in literature with more cross-disciplinary topics that pertain to death investigations

Applications of Fuzzy Sets Theory

Applications of Fuzzy Sets Theory PDF Author: Francesco Masulli
Publisher: Springer Science & Business Media
ISBN: 354073399X
Category : Computers
Languages : en
Pages : 708

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Book Description
The 7th International Workshop on Fuzzy Logic and Applications, held in Camogli, Italy in July 2007, presented the latest findings in the field. This volume features the refereed proceedings from that meeting. It includes 84 full papers as well as three keynote speeches. The papers are organized into topical sections covering fuzzy set theory, fuzzy information access and retrieval, fuzzy machine learning, and fuzzy architectures and systems.

Computational Intelligence: A Compendium

Computational Intelligence: A Compendium PDF Author: John Fulcher
Publisher: Springer Science & Business Media
ISBN: 3540782923
Category : Computers
Languages : en
Pages : 1182

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Book Description
Computational Intelligence: A Compendium presents a well structured overview about this rapidly growing field with contributions of leading experts in Computational Intelligence. The main focus of the compendium is on applied methods tired-and-proven effective to realworld problems, which is especially useful for practitioners, researchers, students and also newcomers to the field. The 25 chapters are grouped into the following themes: I. Overview and Background II. Data Preprocessing and Systems Integration III. Artificial Intelligence IV. Logic and Reasoning V. Ontology VI. Agents VII. Fuzzy Systems VIII. Artificial Neural Networks IX. Evolutionary Approaches X. DNA and Immune-based Computing.

Aggregation Functions in Theory and in Practice

Aggregation Functions in Theory and in Practice PDF Author: Vicenç Torra
Publisher: Springer
ISBN: 3319593064
Category : Technology & Engineering
Languages : en
Pages : 288

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Book Description
This book collects the abstracts of the contributions presented at AGOP 2017, the 9th International Summer School on Aggregation Operators. The conference took place in Skövde (Sweden) in June 2017. Contributions include works from theory and fundamentals of aggregation functions to their use in applications. Aggregation functions are usually defined as those functions that are monotonic and that satisfy the unanimity condition. In particular settings these conditions are relaxed. Aggregation functions are used for data fusion and decision making. Examples of these functions include means, t-norms and t-conorms, copulas and fuzzy integrals (e.g., the Choquet and Sugeno integrals).

Advances in Computational Intelligence

Advances in Computational Intelligence PDF Author: Ignacio Rojas
Publisher: Springer
ISBN: 3642386792
Category : Computers
Languages : en
Pages : 687

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Book Description
This two-volume set LNCS 7902 and 7903 constitutes the refereed proceedings of the 12th International Work-Conference on Artificial Neural Networks, IWANN 2013, held in Puerto de la Cruz, Tenerife, Spain, in June 2013. The 116 revised papers were carefully reviewed and selected from numerous submissions for presentation in two volumes. The papers explore sections on mathematical and theoretical methods in computational intelligence, neurocomputational formulations, learning and adaptation emulation of cognitive functions, bio-inspired systems and neuro-engineering, advanced topics in computational intelligence and applications

Intelligent Systems

Intelligent Systems PDF Author: Ricardo Cerri
Publisher: Springer Nature
ISBN: 3030613801
Category : Computers
Languages : en
Pages : 697

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Book Description
The two-volume set LNAI 12319 and 12320 constitutes the proceedings of the 9th Brazilian Conference on Intelligent Systems, BRACIS 2020, held in Rio Grande, Brazil, in October 2020. The total of 90 papers presented in these two volumes was carefully reviewed and selected from 228 submissions. The contributions are organized in the following topical section: Part I: Evolutionary computation, metaheuristics, constrains and search, combinatorial and numerical optimization; neural networks, deep learning and computer vision; and text mining and natural language processing. Part II: Agent and multi-agent systems, planning and reinforcement learning; knowledge representation, logic and fuzzy systems; machine learning and data mining; and multidisciplinary artificial and computational intelligence and applications. Due to the Corona pandemic BRACIS 2020 was held as a virtual event.

Computational and Ambient Intelligence

Computational and Ambient Intelligence PDF Author: Francisco Sandoval
Publisher: Springer
ISBN: 3540730079
Category : Computers
Languages : en
Pages : 1192

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Book Description
This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.

Computer Vision and Robotics

Computer Vision and Robotics PDF Author: Jagdish Chand Bansal
Publisher: Springer Nature
ISBN: 9811682259
Category : Technology & Engineering
Languages : en
Pages : 541

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Book Description
This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2021), organized by BBD University Lucknow, India, during 7–8 August 2021. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.