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Intelligent Data Engineering and Automated Learning -- IDEAL 2010 : 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings - Colin Fyfe
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Colin Fyfe:

Intelligent Data Engineering and Automated Learning -- IDEAL 2010 : 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings - Taschenbuch

2010, ISBN: 3642153801

[EAN: 9783642153808], Neubuch, [SC: 0.0], [PU: Springer-Verlag Gmbh Aug 2010], ALGORITHMUS; DATENVERARBEITUNG / INFORMATIONSMANAGEMENT; INFORMATIONSSYSTEM; INTELLIGENZ KÜNSTLICHE INTELLIG… Mehr…

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Fyfe, Colin:

Intelligent Data Engineering and Automated Learning -- IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings Colin Fyfe (u. a.) Taschenbuch Englisch 2010 - Taschenbuch

2010, ISBN: 9783642153808

[ED: Taschenbuch], [PU: Springer Berlin], The IDEAL conference has become a unique, established and broad interdisciplinary forum for experts, researchers and practitioners in many fields… Mehr…

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Fyfe, Colin:
Intelligent Data Engineering and Automated Learning -- IDEAL 2010 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings Colin Fyfe (u. a.) Taschenbuch Englisch 2010 - Taschenbuch

2010

ISBN: 9783642153808

[ED: Taschenbuch], [PU: Springer Berlin], The IDEAL conference has become a unique, established and broad interdisciplinary forum for experts, researchers and practitioners in many fields… Mehr…

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Intelligent Data Engineering And Automated Learning - Ideal 2010: 11th International Conference, Paisley, UK, September 1-3, 2010, - neues Buch

2010, ISBN: 9783642153808

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Intelligent Data Engineering and Automated Learning -- IDEAL 2010 - Colin Fyfe; Peter Tino; Darryl Charles; Cesar Garcia Osorio; Hujun Yin
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Colin Fyfe; Peter Tino; Darryl Charles; Cesar Garcia Osorio; Hujun Yin:
Intelligent Data Engineering and Automated Learning -- IDEAL 2010 - Taschenbuch

2010, ISBN: 9783642153808

11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings, Buch, Softcover, [PU: Springer Berlin], Springer Berlin, 2010

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Details zum Buch
Intelligent Data Engineering and Automated Learning -- IDEAL 2010

This book constitutes the refereed proceedings of the 11th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2010, held in Paisley, Scotland, in September 2010. The 47 revised full papers presented were carefully reviewed and selected from many submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

Detailangaben zum Buch - Intelligent Data Engineering and Automated Learning -- IDEAL 2010


EAN (ISBN-13): 9783642153808
ISBN (ISBN-10): 3642153801
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin
398 Seiten
Gewicht: 0,630 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2009-11-09T08:11:43+01:00 (Berlin)
Detailseite zuletzt geändert am 2022-04-25T20:34:06+02:00 (Berlin)
ISBN/EAN: 9783642153808

ISBN - alternative Schreibweisen:
3-642-15380-1, 978-3-642-15380-8


Daten vom Verlag:

Autor/in: Colin Fyfe; Peter Tino; Darryl Charles; Cesar Garcia Osorio; Hujun Yin
Titel: Lecture Notes in Computer Science; Information Systems and Applications, incl. Internet/Web, and HCI; Intelligent Data Engineering and Automated Learning -- IDEAL 2010 - 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings
Verlag: Springer; Springer Berlin
398 Seiten
Erscheinungsjahr: 2010-08-19
Berlin; Heidelberg; DE
Gewicht: 0,627 kg
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
106,60 CHF (CH)
POD
XVI, 398 p. 134 illus.

BC; Book; Hardcover, Softcover / Informatik, EDV/Informatik; Künstliche Intelligenz; Verstehen; bioinformatics; computational intelligence; data mining; evolutionary algorithms; knowledge discovery; learning; medical diagnosis; C; Artificial Intelligence; Programming Techniques; Database Management; Information Systems Applications (incl. Internet); Information Storage and Retrieval; Computation by Abstract Devices; Artificial Intelligence; Programming Techniques; Database Management; Computer and Information Systems Applications; Information Storage and Retrieval; Theory of Computation; Computer Science; Computerprogrammierung und Softwareentwicklung; Datenbanken; Angewandte Informatik; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Theoretische Informatik; EA

Large Scale Instance Selection by Means of a Parallel Algorithm.- Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection.- Generalized Derivative Based Kernelized Learning Vector Quantization.- Cost Optimization of a Localized Irrigation System Using Genetic Algorithms.- Dimension Reduction for Regression with Bottleneck Neural Networks.- Analysing Satellite Image Time Series by Means of Pattern Mining.- Sentences Generation by Frequent Parsing Patterns.- Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model.- On the Power of Topological Kernel in Microarray-Based Detection of Cancer.- An Evolutionary Multi-objective Optimization of Market Structures Using PBIL.- New Application of Graph Mining to Video Analysis.- Classification by Multiple Reducts-kNN with Confidence.- Towards Automatic Classification of Wikipedia Content.- Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data.- A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm.- Simplified Self-Adapting Skip Lists.- Multi-Agent Architecture with Support to Quality of Service and Quality of Control.- Robust 1-Norm Soft Margin Smooth Support Vector Machine.- A Generalization of Independence in Naive Bayes Model.- Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification.- Histogram Distance for Similarity Search in Large Time Series Database.- The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces.- Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains.- The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach.- Privacy Preserving Technique for Euclidean Distance Based Mining Algorithms Using a Wavelet Related Transform.- Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System.- Annotation and Retrieval of Cell Images.- Adaptive Particle Swarm Optimizer for Feature Selection.- A Randomized Sphere Cover Classifier.- Directed Figure Codes with Weak Equality.- Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks.- Relevance of Contextual Information in Compression-Based Text Clustering.- Simple Deterministically Constructed Recurrent Neural Networks.- Non-negative Matrix Factorization Implementation Using Graphic Processing Units.- A Neighborhood-Based Clustering by Means of the Triangle Inequality.- Selection of Structures with Grid Optimization, in Multiagent Data Warehouse.- Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations.- Learning Negotiation Policies Using IB3 and Bayesian Networks.- Trajectory Based Behavior Analysis for User Verification.- Discovering Concept Mappings by Similarity Propagation among Substructures.- Clustering and Visualizing SOM Results.- A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors.- Evolution Strategies for Objective Functions with Locally Correlated Variables.- Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD.- Improving the Performance of the Truncated Fourier Series Least Squares (TFSLS)Power System Load Model Using an Artificial Neural Network Paradigm.- An Efficient Approach to Clustering Real-Estate Listings.- Incremental Update of Cyclic Association Rules.

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