Rule Extraction from Support Vector Machines, Joachim Diederich
Автор: Hiroshi Kimura; Kazuo Tsuchiya; Akio Ishiguro; Har Название: Adaptive Motion of Animals and Machines ISBN: 443156313X ISBN-13(EAN): 9784431563136 Издательство: Springer Рейтинг: Цена: 13275.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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 Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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 Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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 Рейтинг: Цена: 7685.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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: Isabelle Guyon; Steve Gunn; Masoud Nikravesh; Loft Название: Feature Extraction ISBN: 366251771X ISBN-13(EAN): 9783662517710 Издательство: Springer Рейтинг: Цена: 41787.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
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.
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 Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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