1,721,181 research outputs found
Nonlinear discriminative data visualization
Full text linkBunte K, Biehl M, Hammer B. Nonlinear discriminative data visualization. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. Evere: d-side publications; 2009: 65-70
Generalized Functional Relevance Learning Vector Quantization
Full text linkKaestner M, Hammer B, Biehl M, Villmann T. Generalized Functional Relevance Learning Vector Quantization. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. D side; 2011: pp. 93-98
Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization
Full text linkBunte K, Hammer B, Villmann T, Biehl M, Wismüller A. Exploratory Observation Machine (XOM) with Kullback-Leibler Divergence for Dimensionality Reduction and Visualization. In: Verleysen M, ed. ESANN'10. Proceedings of the 18th European Symposium on Artificial Neural Networks. Evere: D side; 2010: 87-92
Some Theoretical Aspects of the Neural Gas Vector Quantizer
No full textVillmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Biehl M, Hammer B, Verleysen M, Villmann T, eds. Similarity Based Clustering. Lecture Notes Artificial Intelligence, 5400. Berlin, Heidelberg: Springer; 2009: 23-34
Local input-output stability of recurrent networks with time-varying weights
No full textSteil JJ. Local input-output stability of recurrent networks with time-varying weights. In: Verleysen M, ed. Proc. European Symposium Artificial Neural Networks. 2000: 281-286
Stability of backpropagtion-decorrelation efficient O(N) recurrent learning
No full textSteil JJ. Stability of backpropagtion-decorrelation efficient O(N) recurrent learning. In: Verleysen M, ed. Proc. European Symposium Artificial Neural Networks. d-facto publications; 2005: 43-48
Neural Dynamics for Task-Oriented Grouping of Communicating Agents
No full textSteil JJ. Neural Dynamics for Task-Oriented Grouping of Communicating Agents. In: Verleysen M, ed. Proc. European Symposium Artificial Neural Networks. d-side publication; 2004: 531-536
Approximation capabilities of folding networks
No full textHammer B. Approximation capabilities of folding networks. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. D-facto publications; 1999: 33-38
Training a sigmoidal network is difficult
No full textHammer B. Training a sigmoidal network is difficult. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. D-facto publications; 1998: 255-260
Limitations of hybrid systems
No full textHammer B. Limitations of hybrid systems. In: Verleysen M, ed. European Symposium on Artificial Neural Networks. D-facto publications; 2000: 213-218
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