Self-Organizing Systems, Thrasyvoulos Spyropoulos; Karin Anna Hummel
Автор: Karin Anna Hummel; James P. G. Sterbenz Название: Self-Organizing Systems ISBN: 3540921567 ISBN-13(EAN): 9783540921561 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the Third International Workshop on Self-Organizing Systems, IWSOS 2008, held in Vienna, Austria, December 10-12, 2008. The 20 revised full papers and 13 revised short papers presented were carefully selected from the 70 full and 24 short paper submissions from authors from 33 different countries.
Автор: Mikhail Prokopenko Название: Advances in Applied Self-Organizing Systems ISBN: 1447151127 ISBN-13(EAN): 9781447151128 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.
Автор: J.C. Principe; Risto Miikkulainen Название: Advances in Self-Organizing Maps ISBN: 3642023967 ISBN-13(EAN): 9783642023965 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 7th International Workshop WSOM 2009 St Augustine Florida June 810 2009 Proceedings. .
Автор: Agarwal Название: Statistical Methods for Recommender Systems ISBN: 1107036070 ISBN-13(EAN): 9781107036079 Издательство: Cambridge Academ Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.
Автор: Godfrey C Onwubolu Название: Hybrid Self-Organizing Modeling Systems ISBN: 3642101828 ISBN-13(EAN): 9783642101823 Издательство: Springer Рейтинг: Цена: 23508.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.
Автор: Godfrey C Onwubolu Название: Hybrid Self-Organizing Modeling Systems ISBN: 3642015298 ISBN-13(EAN): 9783642015298 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book presents hybrids of some computational intelligence techniques and GMDH approach. It includes the description of GAME (Group Adaptive Models Evolution) algorithm.
Описание: This book examines the evolvability and robustness of an evolutionary GRN paradigm, in simple differentiated multicellularity and in evolving artificial `organisms` which grow and express an ontogeny from a single cell to a changing neighborhood of cells.
Автор: Mikhail Prokopenko Название: Advances in Applied Self-Organizing Systems ISBN: 1447158997 ISBN-13(EAN): 9781447158998 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume demonstrates the practical relevance and applicability of self-organization. It includes case studies that examine applications of self-organization, identify causes for their successes, and propose guiding principles for future developments.
Автор: Satoshi Murata; Haruhisa Kurokawa Название: Self-Organizing Robots ISBN: 4431547320 ISBN-13(EAN): 9784431547327 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the feasibility of creating self-organizing robots, particularly at the molecular level, within current mechanical engineering limitations. It covers relevant topics such as design philosophy and self-organization in biological systems.
Автор: Thomas Villmann; Frank-Michael Schleif; Marika Kad Название: Advances in Self-Organizing Maps and Learning Vector Quantization ISBN: 3319076949 ISBN-13(EAN): 9783319076942 Издательство: Springer Рейтинг: Цена: 26122.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
How Many Dissimilarity/Kernel Self Organizing Map Variants Do We Need.- Dynamic formation of self-organizing maps.- MS-SOM: Magnitude Sensitive Self-Organizing Maps.- Bagged Kernel SOM.- Probability ridges and distortion flows: Visualizing multivariate time series using a variational Bayesian manifold learning method.- Short review of dimensionality reduction methods based on stochastic neighbour embedding.- Attention based Classification Learning in GLVQ and Asymmetric Classification Error Assessment.-Visualization and Classification of DNA sequences using Pareto learning Self Organizing Maps based on Frequency and Correlation Coefficient.- Probabilistic prototype classification using t-norms.- Rejection Strategies for Learning Vector Quantization - a Comparison of Probabilistic and Deterministic Approaches.- Comparison of spectrum cluster analysis with PCA and spherical SOM and related issues not amenable to PCA.- Exploiting the structures of the U-matrix.- Partial Mutual Information for Classification Analysis of Gene expression Data by Learning Vector Quantization.- Composition of Learning Patterns using Spherical Self-Organizing Maps in Image Analysis with Subspace Classifier.- Self-Organizing Map for the Prize-Collecting Traveling Salesman Problem.- A Survey of SOM-based Active Contour Models for Image Segmentation.- Biologically Plausible SOM Representation of the Orthographic Form of 50,000 French Words.- Prototype-based classifiers and their application in the life sciences.- Generative versus discriminative prototype based classification.- Some room for GLVQ: Semantic Labeling of occupancy grid maps.- Anomaly detection based on confidence intervals using SOM with an application to Health Monitoring.- RFSOM - Extending Self-Organizing feature Maps with adaptive metrics to combine spatial and textural features for body pose estimation.- Beyond Standard Metrics - On the Selection and Combination of Distance Metrics for an Improved.- Classification of Hyperspectral Data.- The Sky Is Not the Limit.- Development of Target Reaching Gesture Map in the Cortex and Its Relation to the Motor Map: A Simulation Study.- A Concurrent SOM-based Chan-Vese Model for Image Segmentation.- Text mining of life-philosophicl insights.- SOMbrero: an R Package for Numeric and Non-numeric Self-Organizing Maps.- K-Nearest Neighbor Nonnegative Matrix Factorization for Learning a Mixture of Local SOM Models.
Автор: Pablo A. Est?vez; Jos? C. Pr?ncipe; Pablo Zegers Название: Advances in Self-Organizing Maps ISBN: 3642352294 ISBN-13(EAN): 9783642352294 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many SOM applications have been developed in engineering and science, and other fields.This book contains refereed papers presented at the 9th Workshop on Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile, Santiago, Chile, on December 12-14, 2012.
Автор: Donald Davendra; Ivan Zelinka Название: Self-Organizing Migrating Algorithm ISBN: 3319281593 ISBN-13(EAN): 9783319281599 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners.
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