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020			_a9783642023972 _9978-3-642-02397-2
024	7		_a10.1007/978-3-642-02397-2 _2doi
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245	1	0	_aAdvances in Self-Organizing Maps _h[electronic resource] : _b7th International Workshop, WSOM 2009, St. Augustine, Florida, June 8-10, 2009. Proceedings / _cedited by J.C. Principe, Risto Miikkulainen.
250			_a1st ed. 2009.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2009.
300			_aX, 374 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v5629
505	0		_aBatch-Learning Self-Organizing Map for Predicting Functions of Poorly-Characterized Proteins Massively Accumulated -- Incremental Unsupervised Time Series Analysis Using Merge Growing Neural Gas -- Clustering Hierarchical Data Using Self-Organizing Map: A Graph-Theoretical Approach -- Time Series Clustering for Anomaly Detection Using Competitive Neural Networks -- Fault Prediction in Aircraft Engines Using Self-Organizing Maps -- Incremental Figure-Ground Segmentation Using Localized Adaptive Metrics in LVQ -- Application of Supervised Pareto Learning Self Organizing Maps and Its Incremental Learning -- Gamma SOM for Temporal Sequence Processing -- Fuzzy Variant of Affinity Propagation in Comparison to Median Fuzzy c-Means -- Clustering with Swarm Algorithms Compared to Emergent SOM -- Cartograms, Self-Organizing Maps, and Magnification Control -- Concept Mining with Self-Organizing Maps for the Semantic Web -- ViSOM for Dimensionality Reduction in Face Recognition -- Early Recognition of Gesture Patterns Using Sparse Code of Self-Organizing Map -- Bag-of-Features Codebook Generation by Self-Organisation -- On the Quantization Error in SOM vs. VQ: A Critical and Systematic Study -- Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas -- Career-Path Analysis Using Optimal Matching and Self-Organizing Maps -- Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors -- Representing Semantic Graphs in a Self-Organizing Map -- Analytic Comparison of Self-Organising Maps -- Modeling the Bilingual Lexicon of an Individual Subject -- Self-Organizing Maps with Non-cooperative Strategies (SOM-NC) -- Analysis of Parliamentary Election Results and Socio-Economic Situation Using Self-Organizing Map -- Line Image Classification by NG×SOM:Application to Handwritten Character Recognition -- Self-Organization of Tactile Receptive Fields: Exploring Their Textural Origin and Their Representational Properties -- Visualization by Linear Projections as Information Retrieval -- Analyzing Domestic Violence with Topographic Maps: A Comparative Study -- On the Finding Process of Volcano-Domain Ontology Components Using Self-Organizing Maps -- Elimination of Useless Neurons in Incremental Learnable Self-Organizing Map -- Hierarchical PCA Using Tree-SOM for the Identification of Bacteria -- Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood -- Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database -- Towards Semi-supervised Manifold Learning: UKR with Structural Hints -- Construction of a General Physical Condition Judgment System Using Acceleration Plethysmogram Pulse-Wave Analysis -- Top-Down Control of Learning in Biological Self-Organizing Maps -- Functional Principal Component Learning Using Oja's Method and Sobolev Norms -- A Computational Framework for Nonlinear Dimensionality Reduction and Clustering -- The Exploration Machine - A Novel Method for Data Visualization -- Generalized Self-Organizing Mixture Autoregressive Model -- An SOM-Hybrid Supervised Model for the Prediction of Underlying Physical Parameters from Near-Infrared Planetary Spectra.
520			_aThis book constitutes the refereed proceedings of the 7th International Workshop on Advances in Self-Organizing Maps, WSOM 2009, held in St. Augustine, Florida, in June 2009. The 41 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers deal with topics in the use of SOM in many areas of social sciences, economics, computational biology, engineering, time series analysis, data visualization and theoretical computer science.
650		0	_aData mining. _93907
650		0	_aArtificial intelligence. _93407
650		0	_aSoftware engineering. _94138
650		0	_aAlgorithms. _93390
650		0	_aComputer simulation. _95106
650	1	4	_aData Mining and Knowledge Discovery. _9140836
650	2	4	_aArtificial Intelligence. _93407
650	2	4	_aSoftware Engineering. _94138
650	2	4	_aAlgorithms. _93390
650	2	4	_aComputer Modelling. _9140837
700	1		_aPrincipe, J.C. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9140838
700	1		_aMiikkulainen, Risto. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9140839
710	2		_aSpringerLink (Online service) _9140840
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783642023965
776	0	8	_iPrinted edition: _z9783642023989
830		0	_aTheoretical Computer Science and General Issues, _x2512-2029 ; _v5629 _9140841
856	4	0	_uhttps://doi.org/10.1007/978-3-642-02397-2
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