Support Vector Machine In Chemistry

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Support Vector Machine in Chemistry

Author : Nianyi Chen
Publisher : World Scientific
ISBN 13 : 9812389229
Total Pages : 343 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Support Vector Machine in Chemistry by : Nianyi Chen

Download or read book Support Vector Machine in Chemistry written by Nianyi Chen and published by World Scientific. This book was released on 2004 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, a new method of data processing using the support vector machine (SVM) has been introduced to the field of chemistry. Compared with other methods of data processing, the SVM has the advantage of good prediction reliability. It is especially suitable for small sample sizes, such as in chemical research on QSAR/QSPR work, materials and experimental design, phase diagram prediction, etc. The SVM is fast becoming a useful tool for chemists. This book provides a systematic approach to the principles and algorithms of the SVM, and looks at its application in many branches of chemistry.

Support Vector Machines and Their Application in Chemistry and Biotechnology

Author : Yizeng Liang
Publisher : CRC Press
ISBN 13 : 1439821283
Total Pages : 206 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Support Vector Machines and Their Application in Chemistry and Biotechnology by : Yizeng Liang

Download or read book Support Vector Machines and Their Application in Chemistry and Biotechnology written by Yizeng Liang and published by CRC Press. This book was released on 2016-04-19 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support vector machines (SVMs) are used in a range of applications, including drug design, food quality control, metabolic fingerprint analysis, and microarray data-based cancer classification. While most mathematicians are well-versed in the distinctive features and empirical performance of SVMs, many chemists and biologists are not as familiar wi

Support Vector Machine in Chemistry

Author : Nianyi Chen
Publisher : World Scientific
ISBN 13 : 9812794719
Total Pages : 343 pages
Book Rating : 4.8/5 (127 download)

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Book Synopsis Support Vector Machine in Chemistry by : Nianyi Chen

Knowledge Discovery with Support Vector Machines

Author : Lutz H. Hamel
Publisher : John Wiley & Sons
ISBN 13 : 1118211030
Total Pages : 211 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Knowledge Discovery with Support Vector Machines by : Lutz H. Hamel

Download or read book Knowledge Discovery with Support Vector Machines written by Lutz H. Hamel and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-class classification Regression with support vector machines Novelty detection Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.

Encyclopedia of Physical Organic Chemistry, 6 Volume Set

Author : Zerong Wang
Publisher : John Wiley & Sons
ISBN 13 : 1118470451
Total Pages : 4542 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis Encyclopedia of Physical Organic Chemistry, 6 Volume Set by : Zerong Wang

Download or read book Encyclopedia of Physical Organic Chemistry, 6 Volume Set written by Zerong Wang and published by John Wiley & Sons. This book was released on 2017-04-17 with total page 4542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Winner of 2018 PROSE Award for MULTIVOLUME REFERENCE/SCIENCE This encyclopedia offers a comprehensive and easy reference to physical organic chemistry (POC) methodology and techniques. It puts POC, a classical and fundamental discipline of chemistry, into the context of modern and dynamic fields like biochemical processes, materials science, and molecular electronics. Covers basic terms and theories into organic reactions and mechanisms, molecular designs and syntheses, tools and experimental techniques, and applications and future directions Includes coverage of green chemistry and polymerization reactions Reviews different strategies for molecular design and synthesis of functional molecules Discusses computational methods, software packages, and more than 34 kinds of spectroscopies and techniques for studying structures and mechanisms Explores applications in areas from biology to materials science The Encyclopedia of Physical Organic Chemistry has won the 2018 PROSE Award for MULTIVOLUME REFERENCE/SCIENCE. The PROSE Awards recognize the best books, journals and digital content produced by professional and scholarly publishers. Submissions are reviewed by a panel of 18 judges that includes editors, academics, publishers and research librarians who evaluate each work for its contribution to professional and scholarly publishing. You can find out more at: proseawards.com Also available as an online edition for your library, for more details visit Wiley Online Library

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

Author : Sandeep Kumar Satapathy
Publisher : Academic Press
ISBN 13 : 0128174277
Total Pages : 134 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis EEG Brain Signal Classification for Epileptic Seizure Disorder Detection by : Sandeep Kumar Satapathy

Download or read book EEG Brain Signal Classification for Epileptic Seizure Disorder Detection written by Sandeep Kumar Satapathy and published by Academic Press. This book was released on 2019-02-10 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals to detect epileptic seizures using machine learning techniques. Chapters present an overview of machine learning techniques and the tools available, discuss previous studies, present empirical studies on the performance of the NN and SVM classifiers, discuss RBF neural networks trained with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final chapter present future developments in the field. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need the most recent and promising automated techniques for EEG classification. Explores machine learning techniques that have been modified and validated for the purpose of EEG signal classification using Discrete Wavelet Transform for the identification of epileptic seizures Encompasses machine learning techniques, providing an easily understood resource for both non-specialized readers and biomedical researchers Provides a number of experimental analyses, with their results discussed and appropriately validated

Applications and Innovations in Intelligent Systems XVI

Author : Tony Allen
Publisher : Springer Science & Business Media
ISBN 13 : 1848822154
Total Pages : 259 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Applications and Innovations in Intelligent Systems XVI by : Tony Allen

Download or read book Applications and Innovations in Intelligent Systems XVI written by Tony Allen and published by Springer Science & Business Media. This book was released on 2010-06-07 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Swallowing sound recognition is an important task in bioengineering that could be employed in systems for automated swallowing assessment and diagnosis of abnormally high rate of swallowing (aerophagia) [1], which is the primary mode of ingesting excessive amounts of air, and swallowing dysfunction (dysphagia) [2]-[5], that may lead to aspiration, choking, and even death. Dysphagia represents a major problem in rehabilitation of stroke and head injury patients. In current clinical practice videofluoroscopic swallow study (VFSS) is the gold standard for diagnosis of swallowing disorders. However, VFSS is a ti- consuming procedure performed only in a clinical setting. VFSS also results in some radiation exposure. Therefore, various non-invasive methods are proposed for swallowing assessment based on evaluation of swallowing signals, recorded by microphones and/or accelerometers and analyzed by digital signal processing techniques [2]-[5]. Swallowing sounds are caused by a bolus passing through pharynx. It is possible to use swallowing sounds to determine pharyngeal phase of the swallow and characteristics of the bolus [2].

Pattern Recognition

Author : Axel Pinz
Publisher : Springer
ISBN 13 : 3642327176
Total Pages : 510 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Pattern Recognition by : Axel Pinz

Download or read book Pattern Recognition written by Axel Pinz and published by Springer. This book was released on 2012-08-14 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 34th Symposium of the German Association for Pattern Recognition, DAGM 2012, and the 36th Symposium of the Austrian Association for Pattern Recognition, OAGM 2012, held in Graz, Austria, in August 2012. The 27 revised full papers and 23 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on segmentation, low-level vision, 3D reconstruction, recognition, applications, learning, and features.

Handbook of Neural Computation

Author : Pijush Samui
Publisher : Academic Press
ISBN 13 : 0128113197
Total Pages : 660 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Handbook of Neural Computation by : Pijush Samui

Download or read book Handbook of Neural Computation written by Pijush Samui and published by Academic Press. This book was released on 2017-07-18 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world. Each contributor presents a specific research issue with its recent and future trends. As the demand rises in the engineering and medical industries for neural networks and other machine learning methods to solve different types of operations, such as data prediction, classification of images, analysis of big data, and intelligent decision-making, this book provides readers with the latest, cutting-edge research in one comprehensive text. Features high-quality research articles on multivariate adaptive regression splines, the minimax probability machine, and more Discusses machine learning techniques, including classification, clustering, regression, web mining, information retrieval and natural language processing Covers supervised, unsupervised, reinforced, ensemble, and nature-inspired learning methods

Machine Learning in Chemistry

Author : Hugh M. Cartwright
Publisher : Royal Society of Chemistry
ISBN 13 : 1788017897
Total Pages : 564 pages
Book Rating : 4.7/5 (88 download)

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Book Synopsis Machine Learning in Chemistry by : Hugh M. Cartwright

Download or read book Machine Learning in Chemistry written by Hugh M. Cartwright and published by Royal Society of Chemistry. This book was released on 2020-07-15 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.

Support Vector Machines

Author : Ingo Steinwart
Publisher : Springer Science & Business Media
ISBN 13 : 0387772421
Total Pages : 611 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Support Vector Machines by : Ingo Steinwart

Download or read book Support Vector Machines written by Ingo Steinwart and published by Springer Science & Business Media. This book was released on 2008-09-15 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every mathematical discipline goes through three periods of development: the naive, the formal, and the critical. David Hilbert The goal of this book is to explain the principles that made support vector machines (SVMs) a successful modeling and prediction tool for a variety of applications. We try to achieve this by presenting the basic ideas of SVMs together with the latest developments and current research questions in a uni?ed style. In a nutshell, we identify at least three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and last but not least their computational e?ciency compared with several other methods. Although there are several roots and precursors of SVMs, these methods gained particular momentum during the last 15 years since Vapnik (1995, 1998) published his well-known textbooks on statistical learning theory with aspecialemphasisonsupportvectormachines. Sincethen,the?eldofmachine learninghaswitnessedintenseactivityinthestudyofSVMs,whichhasspread moreandmoretootherdisciplinessuchasstatisticsandmathematics. Thusit seems fair to say that several communities are currently working on support vector machines and on related kernel-based methods. Although there are many interactions between these communities, we think that there is still roomforadditionalfruitfulinteractionandwouldbegladifthistextbookwere found helpful in stimulating further research. Many of the results presented in this book have previously been scattered in the journal literature or are still under review. As a consequence, these results have been accessible only to a relativelysmallnumberofspecialists,sometimesprobablyonlytopeoplefrom one community but not the others.

Machine Learning in Chemistry

Author : Jon Paul Janet
Publisher : American Chemical Society
ISBN 13 : 0841299005
Total Pages : 189 pages
Book Rating : 4.8/5 (412 download)

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Book Synopsis Machine Learning in Chemistry by : Jon Paul Janet

Download or read book Machine Learning in Chemistry written by Jon Paul Janet and published by American Chemical Society. This book was released on 2020-05-28 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important

Support Vector Machines

Author : Brandon H. Boyle
Publisher :
ISBN 13 : 9781612093420
Total Pages : 0 pages
Book Rating : 4.0/5 (934 download)

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Book Synopsis Support Vector Machines by : Brandon H. Boyle

Download or read book Support Vector Machines written by Brandon H. Boyle and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents topical research in the study of support vector machines. Topics discussed include the support vector machine in medical imaging; monthly air pollution modeling using support vector machine techniques in Spain; support vector machines for image interpolation schemes in image zooming and color array interpolation; using SVM for the prediction of the ultimate capacity of driven piles in cohesionless soils; SVM in medical classification tasks and pattern recognition for machine fault diagnosis using support vector machines.

Learning with Support Vector Machines

Author : Colin Campbell
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608456161
Total Pages : 97 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Learning with Support Vector Machines by : Colin Campbell

Download or read book Learning with Support Vector Machines written by Colin Campbell and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 97 pages. Available in PDF, EPUB and Kindle. Book excerpt: Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. In this book we give an introductory overview of this subject. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and learning in the presence of noise. We show that this framework can be extended to many other scenarios such as prediction with real-valued outputs, novelty detection and the handling of complex output structures such as parse trees. Finally, we give an overview of the main types of kernels which are used in practice and how to learn and make predictions from multiple types of input data. Table of Contents: Support Vector Machines for Classification / Kernel-based Models / Learning with Kernels

Applications of Artificial Intelligence in Process Systems Engineering

Author : Jingzheng Ren
Publisher : Elsevier
ISBN 13 : 012821743X
Total Pages : 542 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Applications of Artificial Intelligence in Process Systems Engineering by : Jingzheng Ren

Download or read book Applications of Artificial Intelligence in Process Systems Engineering written by Jingzheng Ren and published by Elsevier. This book was released on 2021-06-05 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of Artificial Intelligence in Process Systems Engineering offers a broad perspective on the issues related to artificial intelligence technologies and their applications in chemical and process engineering. The book comprehensively introduces the methodology and applications of AI technologies in process systems engineering, making it an indispensable reference for researchers and students. As chemical processes and systems are usually non-linear and complex, thus making it challenging to apply AI methods and technologies, this book is an ideal resource on emerging areas such as cloud computing, big data, the industrial Internet of Things and deep learning. With process systems engineering's potential to become one of the driving forces for the development of AI technologies, this book covers all the right bases. Explains the concept of machine learning, deep learning and state-of-the-art intelligent algorithms Discusses AI-based applications in process modeling and simulation, process integration and optimization, process control, and fault detection and diagnosis Gives direction to future development trends of AI technologies in chemical and process engineering

Chemistry of Petrochemical Processes

Author : Sami Matar Ph.D.
Publisher : Elsevier
ISBN 13 : 0080501087
Total Pages : 409 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Chemistry of Petrochemical Processes by : Sami Matar Ph.D.

Download or read book Chemistry of Petrochemical Processes written by Sami Matar Ph.D. and published by Elsevier. This book was released on 2001-07-26 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Chemistry of Petrochemical Processes, readers find a handy and valuable source of information containing insights into petrochemical reactions and products, process technology, and polymer synthesis. The book reviews and describes the reactions and processes involved in transforming petroleum-based hydrocarbons into the chemicals that form the basis of the multi-billion dollar petrochemical industry. In addition, the book includes information on new process developments for the production of raw materials and intermediates for petrochemicals that have surfaced since the book's first edition. Provides a quick understanding of the chemical reactions associated with oil and gas processing Contains insights into petrochemical reactions and products, process technology, and polymer synthesis

Pattern Classification

Author : Shigeo Abe
Publisher : Springer Science & Business Media
ISBN 13 : 1447102851
Total Pages : 332 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Pattern Classification by : Shigeo Abe

Download or read book Pattern Classification written by Shigeo Abe and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.