Merkzettel Warenkorb
  • Produktbild: Advances in Self-Organizing Maps
  • Produktbild: Advances in Self-Organizing Maps

Advances in Self-Organizing Maps 7th International Workshop, WSOM 2009, St. Augustine, Florida, June 8-10, 2009. Proceedings

Aus der Reihe Lecture Notes in Computer Science

49,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Lieferung nach Hause

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2009

Herausgeber

J.C. Principe + weitere

Verlag

Springer Berlin

Seitenzahl

374

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-02396-5

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

27.05.2009

Herausgeber

Verlag

Springer Berlin

Seitenzahl

374

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

2009

Sprache

Englisch

ISBN

978-3-642-02396-5

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Kundinnen und Kunden meinen

0 Bewertungen

Informationen zu Bewertungen

Zur Abgabe einer Bewertung ist eine Anmeldung im Konto notwendig. Die Authentizität der Bewertungen wird von uns nicht überprüft. Wir behalten uns vor, Bewertungstexte, die unseren Richtlinien widersprechen, entsprechend zu kürzen oder zu löschen.

Die Bewertungen sind nach Format, Anzahl Sterne und Datum sortiert.

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kund*innen durch Ihre Meinung

Kundinnen und Kunden meinen

0 Bewertungen filtern
  • Produktbild: Advances in Self-Organizing Maps
  • Produktbild: Advances in Self-Organizing Maps
  • Batch-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.