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    "Intelligent Data Engineering and Automated Learning" ed. by Colin Fyfe, etc

    Posted By: exLib
    "Intelligent Data Engineering and Automated Learning" ed. by Colin Fyfe, etc

    "Intelligent Data Engineering and Automated Learning" ed. by Colin Fyfe, Peter Tino, Darryl Charles, Cesar Garcia-Osorio, Hujun Yin
    IDEAL 2010: 11th International Conference, Paisley, UK, September 1-3, 2010, Proceedings. Lecture Notes in Computer Science, volume 6283: Information Systems and Applications, incl. Internet/Web, and HCI
    Springer | 2010 | ISBN: 3642153801 9783642153808 | 411 pages | PDF/djvu | 6 MB

    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.

    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.

    Table of Contents
    Large Scale Instance Selection by Means of a Parallel Algorithm - Aida de Haro-Garc´ıa, Juan Antonio Romero del Castillo, and Nicolas Garcıa-Pedrajas
    Typed Linear Chain Conditional Random Fields and Their Application
    to Intrusion Detection - Carsten Elfers, Mirko Horstmann, Karsten Sohr, and Otthein Herzog
    Generalized Derivative Based Kernelized Learning Vector Quantization - Frank-Michael Schleif, Thomas Villmann, Barbara Hammer, Petra Schneider, and Michael Biehl
    Cost Optimization of a Localized Irrigation System Using Genetic
    Algorithms - Monica Sakuray Pais, Julio Cesar Ferreira, Marconi Batista Teixeira, Keiji Yamanaka, and Gilberto Arantes Carrijo
    Dimension Reduction for Regression with Bottleneck Neural Networks - Elina Parviainen
    Analysing Satellite Image Time Series by Means of Pattern Mining - Francois Petitjean, Pierre Gancarski, Florent Masseglia, and Germain Forestier
    Sentences Generation by Frequent Parsing Patterns - Takashi Yanagisawa, Takao Miura, and Isamu Shioya
    Gallbladder Boundary Segmentation from Ultrasound Images Using Active Contour Model - Marcin Ciecholewski
    On the Power of Topological Kernel in Microarray-Based Detection of Cancer - Vilen Jumutc and Pawel Zayakin
    An Evolutionary Multi-objective Optimization of Market Structures Using PBIL - Xinyang Li and Andreas Krause
    New Application of Graph Mining to Video Analysis - Hisashi Koga, Tsuji Tomokazu, Takanori Yokoyama, and Toshinori Watanabe
    Classification by Multiple Reducts-kNN with Confidence - Naohiro Ishii, Yuichi Morioka, Hiroaki Kimura, and Yongguang Bao
    Towards Automatic Classification of Wikipedia Content - Julian Szymanski
    Investigating the Behaviour of Radial Basis Function Networks in Regression and Classification of Geospatial Data - Andrea Guidali, Elisabetta Binaghi, Mauro Guglielmin, and Marco Pascale
    A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm - Clinton Cohagan, Jerzy W. Grzymala-Busse, and Zdzislaw S. Hippe
    Simplified Self-adapting Skip Lists - Jonathan J. Pittard and Alan L. Tharp
    Multi-Agent Architecture with Support to Quality of Service and
    Quality of Control - Jose-Luis Poza-Lujan, Juan-Luis Posadas-Yague, and Jose-Enrique Simo-Ten
    Robust 1-Norm Soft Margin Smooth Support Vector Machine - Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, and Chih-Cheng Chang
    A Generalization of Independence in Naive Bayes Model - Yu Fujimoto and Noboru Murata
    Interval Filter: A Locality-Aware Alternative to Bloom Filters for Hardware Membership Queries by Interval Classification - Ricardo Quislant, Eladio Gutierrez, Oscar Plata, and Emilio L. Zapata
    Histogram Distance for Similarity Search in Large Time Series Database - Yicun Ouyang and Feng Zhang
    The Penalty Avoiding Rational Policy Making Algorithm in Continuous Action Spaces - Kazuteru Miyazaki
    Applying Clustering Techniques to Reduce Complexity in Automated Planning Domains - Luke Dicken and John Levine
    The M-OLAP Cube Selection Problem: A Hyper-polymorphic Algorithm Approach - Jorge Loureiro and Orlando Belo
    Privacy Preserving Technique for Euclidean Distance Based Mining
    Algorithms Using a Wavelet Related Transform - Mohammad Ali Kadampur and Somayajulu D.V.L.N
    Extracting Features from an Electrical Signal of a Non-Intrusive Load Monitoring System - Marisa B. Figueiredo, Ana de Almeida, Bernardete Ribeiro, and Antonio Martins
    Annotation and Retrieval of Cell Images - Maria F. O’Connor, Arthur Hughes, Chaoxin Zheng, Anthony Davies, Dermot Kelleher, and Khurshid Ahmad
    Adaptive Particle Swarm Optimizer for Feature Selection - M.A. Esseghir, Gilles Goncalves, and Yahya Slimani
    A Randomized Sphere Cover Classifier - Reda Younsi and Anthony Bagnall
    Directed Figure Codes with Weak Equality - Wlodzimierz Moczurad
    Surrogate Model for Continuous and Discrete Genetic Optimization Based on RBF Networks - Lukas Bajer and Martin Holena
    Relevance of Contextual Information in Compression-Based Text Clustering - Ana Granados, Rafael Martınez, David Camacho, and Francisco de Borja Rodrıguez
    Simple Deterministically Constructed Recurrent Neural Networks - Ali Rodan and Peter Tino
    Non-negative Matrix Factorization Implementation Using Graphic Processing Units - Noel Lopes and Bernardete Ribeiro
    A Neighborhood-Based Clustering by Means of the Triangle Inequality - Marzena Kryszkiewicz and Piotr Lasek
    Selection of Structures with Grid Optimization, in Multiagent Data Warehouse - Marcin Gorawski, Slawomir Bankowski, and Michal Gorawski
    Approximating the Covariance Matrix of GMMs with Low-Rank Perturbations - Malik Magdon-Ismail and Jonathan T. Purnell
    Learning Negotiation Policies Using IB3 and Bayesian Networks - Gislaine M. Nalepa, Braulio C. Avila, Fabrıcio Enembreck, and Edson E. Scalabrin
    Trajectory Based Behavior Analysis for User Verification - Hsing-Kuo Pao, Hong-Yi Lin, Kuan-Ta Chen, and Junaidillah Fadlil
    Discovering Concept Mappings by Similarity Propagation among Substructures - Qi H. Pan, Fedja Hadzic, and Tharam S. Dillon
    Clustering and Visualizing SOM Results - Jos´e Alfredo F. Costa
    A Hybrid Evolutionary Algorithm to Quadratic Three-Dimensional Assignment Problem with Local Search for Many-Core Graphics Processors - Piotr Lipinski
    Evolution Strategies for Objective Functions with Locally Correlated Variables - Piotr Lipinski
    Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD - Zareen Mehboob and Hujun Yin
    Improving the Performance of the Truncated Fourier Series Least
    Squares (TFSLS) Power System Load Model Using an Artificial Neural Network Paradigm - Shonique L. Miller, Gary L. Lebby, and Ali R. Osareh
    An Efficient Approach to Clustering Real-Estate Listings - Maciej Grzenda and Deepak Thukral
    Incremental Update of Cyclic Association Rules - Eya Ben Ahmed
    Author Index

    with TOC BookMarkLinks




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