Interval-Valued Methods in Classifications and Decisions, Urszula Bentkowska
Автор: Thuy T. Pham Название: Applying Machine Learning for Automated Classification of Biomedical Data in Subject-Independent Settings ISBN: 3030075184 ISBN-13(EAN): 9783030075187 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes efforts to improve subject-independent automated classification techniques using a better feature extraction method and a more efficient model of classification. It evaluates three popular saliency criteria for feature selection, showing that they share common limitations, including time-consuming and subjective manual de-facto standard practice, and that existing automated efforts have been predominantly used for subject dependent setting. It then proposes a novel approach for anomaly detection, demonstrating its effectiveness and accuracy for automated classification of biomedical data, and arguing its applicability to a wider range of unsupervised machine learning applications in subject-independent settings.
Автор: Siuly Siuly; Yan Li; Yanchun Zhang Название: EEG Signal Analysis and Classification ISBN: 3319476521 ISBN-13(EAN): 9783319476520 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems.
Название: Integration of Modern Taxonomic Methods For Penicillium and Aspergillus Classification ISBN: 036739796X ISBN-13(EAN): 9780367397968 Издательство: Taylor&Francis Рейтинг: Цена: 65320.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many species of penicillium and aspergillus are key in biotechnology, food, medicine, biodeterioration and other applied fields, so a practical and stable taxonomy is of vital importance. Developments in science and technology mean that taxonomic classification is no longer confined to classical morphological concepts, and the integration of molecular, physiological and biochemical methods now plays an important role in understanding the classification of these fungi. International experts contribute their expertise, providing value to researchers and professionals in mycology, biotechnology, medicine and regulatory agencies interested in the identification of these fungi.
Автор: Samson Название: Integration of Modern Taxonomic Methods For Penicillium and Aspergillus Classification ISBN: 9058231593 ISBN-13(EAN): 9789058231598 Издательство: Taylor&Francis Рейтинг: Цена: 224570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: These are the proceedings from the International Workshop on Penicillium and Aspergillus. The theme was the systematics of these fungi. The taxonomy has developed from morphological concepts, and these papers consider the integration of molecular, physiological and biochemical methods.
Автор: Deng-Feng Li Название: Models and Methods for Interval-Valued Cooperative Games in Economic Management ISBN: 3319289969 ISBN-13(EAN): 9783319289960 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book proposes several commonly used interval-valued solution concepts of interval-valued cooperative games with transferable utility.
Автор: Robert K. Nowicki Название: Rough Set–Based Classification Systems ISBN: 3030038947 ISBN-13(EAN): 9783030038946 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
This book demonstrates an original concept for implementing the rough set theory in the construction of decision-making systems. It addresses three types of decisions, including those in which the information or input data is insufficient. Though decision-making and classification in cases with missing or inaccurate data is a common task, classical decision-making systems are not naturally adapted to it. One solution is to apply the rough set theory proposed by Prof. Pawlak.
The proposed classifiers are applied and tested in two configurations: The first is an iterative mode in which a single classification system requests completion of the input data until an unequivocal decision (classification) is obtained. It allows us to start classification processes using very limited input data and supplementing it only as needed, which limits the cost of obtaining data. The second configuration is an ensemble mode in which several rough set-based classification systems achieve the unequivocal decision collectively, even though the systems cannot separately deliver such results.
Автор: Anil K. Jain Название: Real-Time Object Measurement and Classification ISBN: 3642833276 ISBN-13(EAN): 9783642833274 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Proceedings of the NATO Advanced Research Workshop on Real- Time Object and Environment Measurement and Qualification, held in Maratea, Italy, August 31 - September 3, 1987
Автор: Barbara P?kala Название: Uncertainty Data in Interval-Valued Fuzzy Set Theory ISBN: 3030067432 ISBN-13(EAN): 9783030067434 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Поставка под заказ. Описание: This book offers an introduction to fuzzy sets theory and their operations, with a special focus on aggregation and negation functions. Particular attention is given to interval-valued fuzzy sets and Atanassov’s intuitionistic fuzzy sets and their use in uncertainty models involving imperfect or unknown information. The theory and application of interval-values fuzzy sets to various decision making problems represent the central core of this book, which describes in detail aggregation operators and their use with imprecise data represented as intervals. Interval-valued fuzzy relations, compatibility measures of interval and the transitivity property are thoroughly covered. With its good balance between theoretical considerations and applications of originally developed algorithms to real-world problem, the book offers a timely, inspiring guide to mathematicians and engineers developing new decision making models or implementing/applying existing ones to a wide range of applications involving imprecise or incomplete data.
Автор: Szczepan Paszkiel Название: Analysis and Classification of EEG Signals for Brain–Computer Interfaces ISBN: 3030305805 ISBN-13(EAN): 9783030305802 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brain-computer interfaces.
Автор: Hoenigswald Henry M., Wiener Linda F. Название: Biological Metaphor and Cladistic Classification ISBN: 0812280148 ISBN-13(EAN): 9780812280142 Издательство: Marston Book Services Цена: 93060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The dynamic aspect of biological systems--the birth, growth, and death of individual organisms, the evolution of one form into another over time--has formed the basis for metaphors used in many fields for both artistic and heuristic purposes. Cladistic classification uses a tree whose branch points are based on the possession of derived or relatively recent characteristics, rather than primitive ones.
Автор: Shan Suthaharan Название: Machine Learning Models and Algorithms for Big Data Classification ISBN: 1489978526 ISBN-13(EAN): 9781489978523 Издательство: Springer Рейтинг: Цена: 121110.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents machine learning models and algorithms to address big data classification problems. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The third part presents the topics required to understand and select machine learning techniques to classify big data.
Автор: Jordan OKeeffe Название: Metabotropic Glutamate Receptors: Classification, Structure and Roles in Disease ISBN: 153613676X ISBN-13(EAN): 9781536136760 Издательство: Nova Science Рейтинг: Цена: 122490.00 T Наличие на складе: Невозможна поставка. Описание: Metabotropic Glutamate Receptors: Classification, Structure and Roles in Disease focuses on Glutamate (Glu), a neurotransmitter/neuromodulator the most widely present in neurons of excitatory pathways, both in the central and peripheral nervous system. The authors present and discuss the molecular structure of some glutamatergic receptors, their distribution, specificity and molecular mechanisms of the physiological and pathological effects of Glu in health and illness. The specific and nonspecific agonist/antagonist receptors utility are also discussed. Following this, the recent outcomes on the role of mGlu7 and mGlu8 receptors on pain transmission and affective/cognitive disorders are summarized. Particular emphasis is placed on their modulation within the antinociceptive descending system, an endogenous anatomical substrate whose pharmacological manipulation may strategically silence pain. In the concluding chapter, the authors reviewed the roles of Metabotropic Glutamate Receptors (mGluRs) and their related signal transduction pathways or interacting proteins in the pathogenesis of the status epilepticus and temporal lobe epilepsy. Some novel therapeutical drug targets for controlling epilepsy and epileptogenesis are proposed.
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