Bio Kernel Machines And Applications

Download Bio Kernel Machines And Applications full books in PDF, epub, and Kindle. Read online Bio Kernel Machines And Applications ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Bio-kernel Machines And Applications

Author : Zheng Rong Yang
Publisher : World Scientific
ISBN 13 : 981128735X
Total Pages : 267 pages
Book Rating : 4.8/5 (112 download)

DOWNLOAD NOW!

Book Synopsis Bio-kernel Machines And Applications by : Zheng Rong Yang

Download or read book Bio-kernel Machines And Applications written by Zheng Rong Yang and published by World Scientific. This book was released on 2024-03-06 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its capability of handling very complex problems and its high flexibility in adapting to different algorithms, the kernel machine plays a crucial role in machine learning.Bio-Kernel Machines and Applications will introduce a new type of kernel machine for the exploration and modeling between the genotypic inherent structures of short protein sequences or nucleic sequences and the phenotypic biological properties or functions of proteins or nucleotides.The book seeks to establish the fundamentals of the bio-kernel machines by presenting the basic principle and theory of the kernel machine and the various formats of kernel machines, such as string kernel machines adapted for biological applications. The book will also introduce several biological applications of the mutation matrices, demonstrating how mutation matrices can enhance the efficiency and biological relevance of machine learning models applied in specific biological problems.Through analyzing current applications of bio-kernel machines, readers will delve into the advantages of the bio-kernel machines and explore how bio-kernel machines can be further enhanced to tackle a wide spectrum of biological challenges and pave the way for future advancements.

Kernel Methods in Computational Biology

Author : Bernhard Schölkopf
Publisher : MIT Press
ISBN 13 : 9780262195096
Total Pages : 428 pages
Book Rating : 4.1/5 (95 download)

DOWNLOAD NOW!

Book Synopsis Kernel Methods in Computational Biology by : Bernhard Schölkopf

Download or read book Kernel Methods in Computational Biology written by Bernhard Schölkopf and published by MIT Press. This book was released on 2004 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed overview of current research in kernel methods and their application to computational biology.

Encyclopedia of Bioinformatics and Computational Biology

Author :
Publisher : Elsevier
ISBN 13 : 0128114320
Total Pages : 3421 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!

Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :

Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Bio-Kernel Machine and Its Applications

Author : Zheng Rong Yang
Publisher : World Scientific Publishing Company
ISBN 13 : 9789811287336
Total Pages : 0 pages
Book Rating : 4.2/5 (873 download)

DOWNLOAD NOW!

Book Synopsis Bio-Kernel Machine and Its Applications by : Zheng Rong Yang

Download or read book Bio-Kernel Machine and Its Applications written by Zheng Rong Yang and published by World Scientific Publishing Company. This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to its capability of handling very complex problems and its high flexibility in adapting to different algorithms, the kernel machine plays a crucial role in machine learning.Bio-Kernel Machines and Applications will introduce a new type of kernel machine for the exploration and modeling between the genotypic inherent structures of short protein sequences or nucleic sequences and the phenotypic biological properties or functions of proteins or nucleotides.The book seeks to establish the fundamentals of the bio-kernel machines by presenting the basic principle and theory of the kernel machine and the various formats of kernel machines, such as string kernel machines adapted for biological applications. The book will also introduce several biological applications of the mutation matrices, demonstrating how mutation matrices can enhance the efficiency and biological relevance of machine learning models applied in specific biological problems.Through analyzing current applications of bio-kernel machines, readers will delve into the advantages of the bio-kernel machines and explore how bio-kernel machines can be further enhanced to tackle a wide spectrum of biological challenges and pave the way for future advancements.

Computational Science and Its Applications - ICCSA 2005

Author : Osvaldo Gervasi
Publisher : Springer
ISBN 13 : 3540320458
Total Pages : 1403 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Computational Science and Its Applications - ICCSA 2005 by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications - ICCSA 2005 written by Osvaldo Gervasi and published by Springer. This book was released on 2005-05-02 with total page 1403 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four volume set assembled following The 2005 International Conference on Computational Science and its Applications, ICCSA 2005, held in Suntec International Convention and Exhibition Centre, Singapore, from 9 May 2005 till 12 May 2005, represents the ?ne collection of 540 refereed papers selected from nearly 2,700 submissions. Computational Science has ?rmly established itself as a vital part of many scienti?c investigations, a?ecting researchers and practitioners in areas ranging from applications such as aerospace and automotive, to emerging technologies such as bioinformatics and nanotechnologies, to core disciplines such as ma- ematics, physics, and chemistry. Due to the shear size of many challenges in computational science, the use of supercomputing, parallel processing, and - phisticated algorithms is inevitable and becomes a part of fundamental t- oretical research as well as endeavors in emerging ?elds. Together, these far reaching scienti?c areas contribute to shape this Conference in the realms of state-of-the-art computational science research and applications, encompassing the facilitating theoretical foundations and the innovative applications of such results in other areas.

Introduction to Machine Learning, fourth edition

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262043793
Total Pages : 709 pages
Book Rating : 4.2/5 (62 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Machine Learning, fourth edition by : Ethem Alpaydin

Download or read book Introduction to Machine Learning, fourth edition written by Ethem Alpaydin and published by MIT Press. This book was released on 2020-03-24 with total page 709 pages. Available in PDF, EPUB and Kindle. Book excerpt: A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition of a comprehensive, widely used machine learning textbook offers new coverage of recent advances in the field in both theory and practice, including developments in deep learning and neural networks. The book covers a broad array of topics not usually included in introductory machine learning texts, including supervised learning, Bayesian decision theory, parametric methods, semiparametric methods, nonparametric methods, multivariate analysis, hidden Markov models, reinforcement learning, kernel machines, graphical models, Bayesian estimation, and statistical testing. The fourth edition offers a new chapter on deep learning that discusses training, regularizing, and structuring deep neural networks such as convolutional and generative adversarial networks; new material in the chapter on reinforcement learning that covers the use of deep networks, the policy gradient methods, and deep reinforcement learning; new material in the chapter on multilayer perceptrons on autoencoders and the word2vec network; and discussion of a popular method of dimensionality reduction, t-SNE. New appendixes offer background material on linear algebra and optimization. End-of-chapter exercises help readers to apply concepts learned. Introduction to Machine Learning can be used in courses for advanced undergraduate and graduate students and as a reference for professionals.

Application of Computational Intelligence to Biology

Author : Ravi Bhramaramba
Publisher : Springer
ISBN 13 : 9811003912
Total Pages : 107 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Application of Computational Intelligence to Biology by : Ravi Bhramaramba

Download or read book Application of Computational Intelligence to Biology written by Ravi Bhramaramba and published by Springer. This book was released on 2016-05-06 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems. It is a good read for Research Scholars, Engineers, Medical Doctors and Bioinformatics researchers.

Bio-Inspired Models of Network, Information, and Computing Systems

Author : Junichi Suzuki
Publisher : Springer
ISBN 13 : 3642326153
Total Pages : 712 pages
Book Rating : 4.6/5 (423 download)

DOWNLOAD NOW!

Book Synopsis Bio-Inspired Models of Network, Information, and Computing Systems by : Junichi Suzuki

Download or read book Bio-Inspired Models of Network, Information, and Computing Systems written by Junichi Suzuki and published by Springer. This book was released on 2012-07-25 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 5th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems (BIONETICS 2010) which was held in Boston, USA, in December 2010. The 78 revised full papers were carefully reviewed and selected from numerous submissions for inclusion in the proceedings. BIONETICS 2010 aimed to provide the understanding of the fundamental principles and design strategies in biological systems and leverage those understandings to build bio-inspired systems.

Machine Learning Algorithms for Data Scientists: An Overview

Author : Vinaitheerthan Renganathan
Publisher : Vinaitheerthan Renganathan
ISBN 13 : 9354737692
Total Pages : 102 pages
Book Rating : 4.3/5 (547 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning Algorithms for Data Scientists: An Overview by : Vinaitheerthan Renganathan

Download or read book Machine Learning Algorithms for Data Scientists: An Overview written by Vinaitheerthan Renganathan and published by Vinaitheerthan Renganathan. This book was released on 2021-06-02 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning models are widely used in different fields such as Artificial Intelligence, Business, Clinical and Biological Sciences which includes self-driving cars, predictive models, disease prediction, genome sequencing, spam filtering, product recommendation, fraud detection and image recognition . It has gained importance due to its capabilities of handling large volume of data, prediction and classification accuracy and validation procedures. Machine Learning models are built on the basis of statistical and mathematical algorithms. One important aspect of machine learning is it does not stick to standard algorithm throughout modeling process instead it learns from the data over a period of time and improves the accuracy of the model. Classification and prediction tasks are carried out based on the characteristics, patterns and relationship of the features present in the data set. Machine learning model also forms the basis of Deep Learning models. Machine Learning models involve supervised learning, unsupervised learning, semi supervised learning and reinforcement learning algorithms. Data Scientists analyze, model and visualize data and provide actionable insights to the decision makers. Machine learning algorithms and tools help the data scientist to carry out these tasks with the help of software such R and Python. This book provides an overview of Machine Learning models, algorithms and its application in different fields through the use of R Software. It also provides short introduction to R software for the benefit of users. Author assumes the users have basic descriptive and inferential statistical knowledge which is essential for building Machine Learning models. Data sets used in the books can be downloaded from the author’s website.

Data Mining and Mathematical Programming

Author : Panos M. Pardalos
Publisher : American Mathematical Soc.
ISBN 13 : 9780821870402
Total Pages : 252 pages
Book Rating : 4.8/5 (74 download)

DOWNLOAD NOW!

Book Synopsis Data Mining and Mathematical Programming by : Panos M. Pardalos

Download or read book Data Mining and Mathematical Programming written by Panos M. Pardalos and published by American Mathematical Soc.. This book was released on 2008-04-09 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining aims at finding interesting, useful or profitable information in very large databases. The enormous increase in the size of available scientific and commercial databases (data avalanche) as well as the continuing and exponential growth in performance of present day computers make data mining a very active field. In many cases, the burgeoning volume of data sets has grown so large that it threatens to overwhelm rather than enlighten scientists. Therefore, traditional methods are revised and streamlined, complemented by many new methods to address challenging new problems. Mathematical Programming plays a key role in this endeavor. It helps us to formulate precise objectives (e.g., a clustering criterion or a measure of discrimination) as well as the constraints imposed on the solution (e.g., find a partition, a covering or a hierarchy in clustering). It also provides powerful mathematical tools to build highly performing exact or approximate algorithms. This book is based on lectures presented at the workshop on "Data Mining and Mathematical Programming" (October 10-13, 2006, Montreal) and will be a valuable scientific source of information to faculty, students, and researchers in optimization, data analysis and data mining, as well as people working in computer science, engineering and applied mathematics.

Bio-inspired computation and its applications

Author : Tinggui Chen
Publisher : Frontiers Media SA
ISBN 13 : 2832527833
Total Pages : 939 pages
Book Rating : 4.8/5 (325 download)

DOWNLOAD NOW!

Book Synopsis Bio-inspired computation and its applications by : Tinggui Chen

Download or read book Bio-inspired computation and its applications written by Tinggui Chen and published by Frontiers Media SA. This book was released on 2023-07-06 with total page 939 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Introduction to Machine Learning, second edition

Author : Ethem Alpaydin
Publisher : MIT Press
ISBN 13 : 0262303264
Total Pages : 580 pages
Book Rating : 4.2/5 (623 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Machine Learning, second edition by : Ethem Alpaydin

Download or read book Introduction to Machine Learning, second edition written by Ethem Alpaydin and published by MIT Press. This book was released on 2009-12-04 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of an introductory text in machine learning that gives a unified treatment of machine learning problems and solutions. The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. The second edition of Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. In order to present a unified treatment of machine learning problems and solutions, it discusses many methods from different fields, including statistics, pattern recognition, neural networks, artificial intelligence, signal processing, control, and data mining. All learning algorithms are explained so that the student can easily move from the equations in the book to a computer program. The text covers such topics as supervised learning, Bayesian decision theory, parametric methods, multivariate methods, multilayer perceptrons, local models, hidden Markov models, assessing and comparing classification algorithms, and reinforcement learning. New to the second edition are chapters on kernel machines, graphical models, and Bayesian estimation; expanded coverage of statistical tests in a chapter on design and analysis of machine learning experiments; case studies available on the Web (with downloadable results for instructors); and many additional exercises. All chapters have been revised and updated. Introduction to Machine Learning can be used by advanced undergraduates and graduate students who have completed courses in computer programming, probability, calculus, and linear algebra. It will also be of interest to engineers in the field who are concerned with the application of machine learning methods.

Artificial Neural Networks

Author : Petia Koprinkova-Hristova
Publisher : Springer
ISBN 13 : 3319099035
Total Pages : 487 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Artificial Neural Networks by : Petia Koprinkova-Hristova

Download or read book Artificial Neural Networks written by Petia Koprinkova-Hristova and published by Springer. This book was released on 2014-09-02 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book reports on the latest theories on artificial neural networks, with a special emphasis on bio-neuroinformatics methods. It includes twenty-three papers selected from among the best contributions on bio-neuroinformatics-related issues, which were presented at the International Conference on Artificial Neural Networks, held in Sofia, Bulgaria, on September 10-13, 2013 (ICANN 2013). The book covers a broad range of topics concerning the theory and applications of artificial neural networks, including recurrent neural networks, super-Turing computation and reservoir computing, double-layer vector perceptrons, nonnegative matrix factorization, bio-inspired models of cell communities, Gestalt laws, embodied theory of language understanding, saccadic gaze shifts and memory formation, and new training algorithms for Deep Boltzmann Machines, as well as dynamic neural networks and kernel machines. It also reports on new approaches to reinforcement learning, optimal control of discrete time-delay systems, new algorithms for prototype selection, and group structure discovering. Moreover, the book discusses one-class support vector machines for pattern recognition, handwritten digit recognition, time series forecasting and classification, and anomaly identification in data analytics and automated data analysis. By presenting the state-of-the-art and discussing the current challenges in the fields of artificial neural networks, bioinformatics and neuroinformatics, the book is intended to promote the implementation of new methods and improvement of existing ones, and to support advanced students, researchers and professionals in their daily efforts to identify, understand and solve a number of open questions in these fields.

Scalable Pattern Recognition Algorithms

Author : Pradipta Maji
Publisher : Springer Science & Business Media
ISBN 13 : 3319056301
Total Pages : 316 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Scalable Pattern Recognition Algorithms by : Pradipta Maji

Download or read book Scalable Pattern Recognition Algorithms written by Pradipta Maji and published by Springer Science & Business Media. This book was released on 2014-03-19 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. The text reviews both established and cutting-edge research, providing a careful balance of theory, algorithms, and applications, with a particular emphasis given to applications in computational biology and bioinformatics. Features: integrates different soft computing and machine learning methodologies with pattern recognition tasks; discusses in detail the integration of different techniques for handling uncertainties in decision-making and efficiently mining large biological datasets; presents a particular emphasis on real-life applications, such as microarray expression datasets and magnetic resonance images; includes numerous examples and experimental results to support the theoretical concepts described; concludes each chapter with directions for future research and a comprehensive bibliography.

Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021)

Author : Miguel Rocha
Publisher : Springer Nature
ISBN 13 : 3030862585
Total Pages : 188 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021) by : Miguel Rocha

Download or read book Practical Applications of Computational Biology & Bioinformatics, 15th International Conference (PACBB 2021) written by Miguel Rocha and published by Springer Nature. This book was released on 2021-08-27 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features novel research papers spanning many different subfields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. PACBB'21 expects to contribute to this effort by encouraging a successful collaboration of researchers in different areas related to bioinformatics. The PACBB'21 technical program included 17 papers covering many different subfields in bioinformatics and computational biology. Therefore, this conference, held in Salamanca (Spain), definitely promotes the collaboration of scientists from different research groups and with different backgrounds (computer scientists, mathematicians, biologists) to reach breakthrough solutions for these challenges.

Advances in Bionanotechnology Research and Application: 2012 Edition

Author :
Publisher : ScholarlyEditions
ISBN 13 : 1464991030
Total Pages : 1015 pages
Book Rating : 4.4/5 (649 download)

DOWNLOAD NOW!

Book Synopsis Advances in Bionanotechnology Research and Application: 2012 Edition by :

Download or read book Advances in Bionanotechnology Research and Application: 2012 Edition written by and published by ScholarlyEditions. This book was released on 2012-12-26 with total page 1015 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Bionanotechnology Research and Application / 2012 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Bionanotechnology. The editors have built Advances in Bionanotechnology Research and Application / 2012 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Bionanotechnology in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Advances in Bionanotechnology Research and Application / 2012 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.

Pacific Symposium On Biocomputing 2014

Author : Russ B Altman
Publisher : World Scientific
ISBN 13 : 9814583235
Total Pages : 436 pages
Book Rating : 4.8/5 (145 download)

DOWNLOAD NOW!

Book Synopsis Pacific Symposium On Biocomputing 2014 by : Russ B Altman

Download or read book Pacific Symposium On Biocomputing 2014 written by Russ B Altman and published by World Scientific. This book was released on 2013-11-19 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Pacific Symposium on Biocomputing (PSB) 2014 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2014 will be held from January 3 - 7, 2014 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2014 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's “hot topics.” In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.