Rule Extraction from Support Vector Machines, Joachim Diederich

Автор: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft
Название: Feature Extraction
ISBN: 366251771X ISBN-13(EAN): 9783662517710
Издательство: Springer
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Цена: 278580.00 T
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Описание: This book is both a reference for engineers and scientists and a teaching resource, featuring tutorial chapters and research papers on feature extraction. Until now there has been insufficient consideration of feature selection algorithms, no unified presentation of leading methods, and no systematic comparisons.

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319069403 ISBN-13(EAN): 9783319069401
Издательство: Springer
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Цена: 121890.00 T
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

Автор: Catalin Stoean; Ruxandra Stoean
Название: Support Vector Machines and Evolutionary Algorithms for Classification
ISBN: 3319382438 ISBN-13(EAN): 9783319382432
Издательство: Springer
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Цена: 104480.00 T
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Описание: When discussing classification, support vector machines are known to be a capable and efficient technique to learn and predict with high accuracy within a quick time frame.

Автор: Ingo Steinwart; Andreas Christmann
Название: Support Vector Machines
ISBN: 1489989633 ISBN-13(EAN): 9781489989635
Издательство: Springer
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Цена: 139750.00 T
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Описание: 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.

Автор: Jayadeva; Reshma Khemchandani; Suresh Chandra
Название: Twin Support Vector Machines
ISBN: 3319461842 ISBN-13(EAN): 9783319461847
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book provides a systematic and focused study of the various aspects of twin support vector machines (TWSVM) and related developments for classification and regression. In addition to presenting most of the basic models of TWSVM and twin support vector regression (TWSVR) available in the literature, it also discusses the important and challenging applications of this new machine learning methodology. A chapter on “Additional Topics” has been included to discuss kernel optimization and support tensor machine topics, which are comparatively new but have great potential in applications. It is primarily written for graduate students and researchers in the area of machine learning and related topics in computer science, mathematics, electrical engineering, management science and finance.

Автор: Pavel Brazdil; Alipio Jorge
Название: Progress in Artificial Intelligence: Knowledge Extraction, Multi-agent Systems, Logic Programming, and Constraint Solving
ISBN: 354043030X ISBN-13(EAN): 9783540430308
Издательство: Springer
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Цена: 69870.00 T
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Описание: The tenth Portuguese Conference on Arti?cial Intelligence, EPIA 2001 was held in Porto and continued the tradition of previous conferences in the series. The conference was organized, as usual, under the auspices of the Portuguese Association for Arti?cial Intelligence (APPIA, http://www.appia.pt).

Автор: Andreas Holzinger; Randy Goebel; Massimo Ferri; Va
Название: Towards Integrative Machine Learning and Knowledge Extraction
ISBN: 3319697749 ISBN-13(EAN): 9783319697741
Издательство: Springer
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Цена: 51230.00 T
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Описание: Towards integrative Machine Learning & Knowledge Extraction.- Machine Learning and Knowledge Extraction in Digital Pathology needs an integrative approach.- Comparison of Public-Domain Software and Services for Probabilistic Record Linkage and Address Standardization.- Better Interpretable Models for Proteomics Data Analysis Using rule-based Mining.- Probabilistic Logic Programming in Action.- Persistent topology for natural data analysis - A survey.- Predictive Models for Differentiation between Normal and Abnormal EEG through Cross-Correlation and Machine Learning Techniques.- A Brief Philosophical Note on Information.- Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline.- A Fast Semi-Automatic Segmentation Tool for Processing Brain Tumor Images.- Topological characteristics of oil and gas reservoirs and their applications.- Convolutional and Recurrent Neural Networks for Activity Recognition in Smart Environment.

Автор: Maria T. Pazienza
Название: Information Extraction: A Multidisciplinary Approach to an Emerging Information Technology
ISBN: 354063438X ISBN-13(EAN): 9783540634386
Издательство: Springer
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Цена: 33540.00 T
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Описание: Information extraction (IE) is a technology enabling the relevant content to be extracted from textual information available electronically. This monograph is devoted to this field and should be of interest to those working in information processing technology.

Автор: Marie-Francine Moens
Название: Information Extraction: Algorithms and Prospects in a Retrieval Context
ISBN: 9048172462 ISBN-13(EAN): 9789048172467
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book covers content recognition in text, elaborating on past and current most successful algorithms and their application in a variety of settings: news filtering, mining of biomedical text, intelligence gathering, competitive intelligence, legal information searching, and processing of informal text.

Автор: Oliver Drubel
Название: Converter Applications and their Influence on Large Electrical Machines
ISBN: 3642362818 ISBN-13(EAN): 9783642362811
Издательство: Springer
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Цена: 130430.00 T
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Описание: This book surveys converter designs for large electrical machines, and derives methods for calculating machine phenomena, describing how such effects as torque ripple and induced shaft voltages can endanger the mechanical shaft system and bearings.

Автор: M.Z. Kolovsky; L. Lilov; A.N. Evgrafov; Yu.A. Seme
Название: Advanced Theory of Mechanisms and Machines
ISBN: 3642536727 ISBN-13(EAN): 9783642536724
Издательство: Springer
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Цена: 104480.00 T
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Описание: A new approach to the theory of mechanisms and machines, based on a lecture course for mechanical engineering students at the St. Petersburg State Technical University. These established and novel methods take into account the needs of modern machine design as well as the potential of computers.

Автор: Hiroshi Kimura; Kazuo Tsuchiya; Akio Ishiguro; Har
Название: Adaptive Motion of Animals and Machines
ISBN: 443156313X ISBN-13(EAN): 9784431563136
Издательство: Springer
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Цена: 88500.00 T
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Описание: * Motivation It is our dream to understand the principles of animals` remarkable ability for adaptive motion and to transfer such abilities to a robot.