Advances in self-organising maps
著者
書誌事項
Advances in self-organising maps
Springer, c2001
大学図書館所蔵 件 / 全11件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references and index
"This is the third Workshop on Self-Organising Maps (WSOM) ... this volume is a permanent record of all the cintributions presented during WSOM'01 held at the University of Lincolnshire and Humberside, 13-15 June, 2001"--Pref.
内容説明・目次
目次
Towards an information-theoretic approach to kernel-based topographic map formation.-
A statistical tool to assess the reliability of self-organising maps.-
A SOM association network.-
A supervised self-organising map for structured data.-
Human gait analysis using SOM.-
Exploring financial crises data with self-organising maps (SOM).-
Analysing health inequalities using SOM.-
Integrating contextual information into text document clustering with self-organising maps.-
Self-organising Internet semantic network.-
Recursive learning rules for SOMs.-
Induced Vorono kernels for principal manifolds approximation.-
Visualisation induced SOM (ViSOM).-
An approach to automated interpretation of SOM.-
VQ-based clustering algorithm of piecewise-dependant-data.-
Adaptive subspace encoders using stochastic vector quantisers.-
SHAPESOM.-
A new interpolation algorithm employing a self organising map.-
SOM-based exploratory analysis of gene expression data.-
Exploring power transformer database using self-organising maps (SOM) and minimal spanning tree (MST).-
Recent advances with the growing hierarchical self-organising Map.-
Self-organising maps of web link information.-
A design method of DNA chips using self-organising maps.-
Multi-dimensional self-organising maps on massively parallel hardware.-
A new method of Hough transform by using SOM with input vector transformation.-
Estimating relevant input dimensions for self-organising algorithms.- An overview on unsupervised learning from data mining perspective.-
Recursive self-organising maps.-
An investigation into catastrophic interference on a SOM network.-
A topography-preserving latent variable model with learning metrics.-
Vector quantisation with g-observable neighbors.-
Dynamic vector quantisation of speech.-
Optimisation of electronic parts mounting machines using SOM-TSP method with 5 dimensional data.-
Self-organising maps forcondition assessment of paper insulated cables.-
An essay in classifying self-organising maps for temporal sequence processing.-
Evaluating SOM-based models in text classification tasks for the Greek language.-
Nonlinear blind source separation using SOMs and applications to image denoising.-
Signal-based feature extraction and SOM based dimension reduction in a vibration monitoring microsystem.
「Nielsen BookData」 より