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Exploration of text collections with hierarchical feature maps
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-4571(199009)41:6<391::aid-asi1>3.0.co;2-9openalex-snapshot
Indexing by latent semantic analysis
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An adaptive information retrieval system based on Neural Networks
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CONCAT — Connotation analysis of thesauri based on the interpretation of context meaning
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GTM: A principled alternative to the Self-Organizing Map
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Very large two-level SOM for the browsing of newsgroups
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Visualizing similarities in high dimensional input spaces with a growing and splitting neural network
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Exploration of document collections with self-organizing maps: A novel approach to similarity representation
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Script Recognition with Hierarchical Feature Maps
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Trace feature map: a model of episodic associative memory
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Self-organized formation of topologically correct feature maps
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Information and classification: Concepts, methods and applications
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Recent trends in hierarchic document clustering: A critical review
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A symbolic and connectionist approach to legal information retrieval
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Growing cell structures—A self-organizing network for unsupervised and supervised learning
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Synaptic Transmission
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Synaptic Transmission
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Pattern Recognition and Neural Networks
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Principal Component Analysis
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Algorithms for Clustering Data
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Script Recognition with Hierarchical Feature Maps
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A Comparison of Text Retrieval Models
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The ART of adaptive pattern recognition by a self-organizing neural network
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A nonlinear projection method based on Kohonen's topology preserving maps
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Learning strategies for an adaptive information retrieval system using neural networks
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Generalizations of the self-organizing map
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A self-organizing semantic map for information retrieval
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A connectionist approach to conceptual information retrieval
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Legal information retrieval a hybrid approach
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GTM: The Generative Topographic Mapping
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Feature Discovery by Competitive Learning*
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Subsymbolic natural language processing : An integrated model of scripts, lexicon, and memory. By Risto Miikkulainen. Cambridge: MIT Press, 1993. Pp. xv, 403.
inferredcites →https://doi.org/10.4324/9780203773444openalex-snapshot
A Symbolic and Connectionist Approach To Legal Information Retrieval
inferredcites →https://doi.org/10.48550/arxiv.cmp-lg/9607003openalex-snapshot
Domain and Language Independent Feature Extraction for Statistical Text Categorization
inferredcites →https://doi.org/10.5860/choice.27-0351openalex-snapshot
Automatic text processing: the transformation, analysis, and retrieval of information by computer
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Providing Topically Sorted Access to Subsequently Released Newspaper Editions or: How to Build Your Private Digital Library
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Document Clustering Using the 1 + 1 Dimensional Self-Organising Map
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The SOMLib Digital Library System
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Exploration of document collections with self-organizing maps: A novel approach to similarity representation
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Visualizing Electronic Document Repositories: Drawing Books and Papers in a Digital Library
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SOMLib: A Distributed Digital Library System based on Self-Organizing Maps
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Creating an Order in Distributed Digital Libraries by Integrating Independent Self-Organizing Maps
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HLabelSOM: Automatic Labelling of Self Organising Maps toward Hierarchical Visualisation for Information Retrieval
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Unsupervised Learning and Clustering
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Towards Content-Related Indexing in Databases
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Document Classification with Unsupervised Artificial Neural Networks
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Computer-Assisted Context Analysis of Databases Containing Scientific Literature
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Semantic navigation maps for information agents
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CIA's view of the world and what neural networks learn from it: A comparison of geographical document space representation metaphors
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String alignment for automated document versioning
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Document Classification with Self-Organizing Maps
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SOMSE: A semantic map based meta-search engine for the purpose of web information customization
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Mining massive document collections by the WEBSOM method
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Tree view self-organisation of web content
inferred← citeshttps://doi.org/10.1016/j.neunet.2004.08.006openalex-snapshot
Adaptive topological tree structure for document organisation and visualisation
inferred← citeshttps://doi.org/10.1016/j.neunet.2006.05.015openalex-snapshot
Large-scale data exploration with the hierarchically growing hyperbolic SOM
inferred← citeshttps://doi.org/10.1016/s0167-8655(99)00103-8openalex-snapshot
Image retrieval using hierarchical self-organizing feature maps
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Text classification with self-organizing maps: Some lessons learned
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Grouper: a dynamic clustering interface to Web search results
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Websom for Textual Data Mining
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Access to distributed environmental databases with ICIx technology
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A metaphor graphics based representation of digital libraries on the World Wide Web: using the libViewer to make metadata visible
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Data mining in law with adaptive learning techniques
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Some remarks on vector representations of legal documents
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Improving the quality of labels for self-organising maps using fine-tuning
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Digital libraries-classification and visualization techniques
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Automatic labeling of self-organizing maps for information retrieval
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Self-organization of distributed document archives
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Obstacles for neural network application in the ICIx database index
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Self-organising maps for tree view based hierarchical document clustering
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Virtual enterprises-challenges from a database perspective
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Hybrid approach for visualization of documents clusters using GHSOM and sammon projection
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A learning technique for legal document analysis
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Visual Mining of Text Collections
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Spherical Tree-Structured SOM and Its Application to Hierarchical Clustering
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UNSUPERVISED ARTIFICIAL NEURAL NETWORKS FOR CLUSTERING OF DOCUMENT COLLECTIONS
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Virtual enterprises: challenges from a database perspective
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