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Analysis and Testing of the m-Class RDP Neural Network.

D. Elizondo, J. de Lazcano-Lobato, and R. Birkenhead. Constructive Neural Networks, volume 258 of Studies in Computational Intelligence, Springer, (2009)

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Juan Vargas University of Stuttgart

Jörg Desel

Das ist InformatikJ. Desel (Eds.) Springer, (2001)

Das ist InformatikJ. Desel (Eds.) Springer, (2001)Hilfreiche Hilfe Methode, Implementierung und Evaluation eines Verfahrens zur Adaption an das prozedurale WissenD. Iglezakis. Kath. Universität Eichstätt-Ingolstadt, Aachen, (2007)Hilfreiche Hilfe Methode, Implementierung und Evaluation eines Verfahrens zur Adaption an das prozedurale WissenD. Iglezakis. Kath. Universität Eichstätt-Ingolstadt, Aachen, (2007)

Univ. -Prof. Dr. Gerd de Bruyn University of Stuttgart

Anda Degeratu University of Stuttgart

Daniel Del Gaudio University of Stuttgart

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Global-local learning strategies in probabilistic principal components analysis.E. López-Rubio, J. de Lazcano-Lobato, D. López-Rodríguez, E. Casermeiro, and M. del Carmen Vargas-González. Artificial Intelligence and Soft Computing, page 46-51. IASTED/ACTA Press, (2006)K -Pages Graph Drawing with Multivalued Neural Networks.D. López-Rodríguez, E. Casermeiro, J. de Lazcano-Lobato, and G. Marín. ICANN (2), volume 4669 of Lecture Notes in Computer Science, page 816-825. Springer, (2007)Stochastic Functional Annealing as Optimization Technique: Application to the Traveling Salesman Problem with Recurrent Networks.D. López-Rodríguez, E. Casermeiro, G. Marín, and J. de Lazcano-Lobato. KI, volume 4667 of Lecture Notes in Computer Science, page 397-411. Springer, (2007)MREM, Discrete Recurrent Network for Optimization.E. Casermeiro, D. López-Rodríguez, and J. de Lazcano-Lobato. Encyclopedia of Artificial Intelligence, IGI Global, (2009)Automatic Model Selection by Cross-Validation for Probabilistic PCA.E. López-Rubio, and J. de Lazcano-Lobato. Neural Processing Letters, 30 (2): 113-132 (2009)Background Modeling by Shifted Tilings of Stacked Denoising Autoencoders.J. García-González, J. de Lazcano-Lobato, R. Luque-Baena, and E. López-Rubio. IWINAC (2), volume 11487 of Lecture Notes in Computer Science, page 307-316. Springer, (2019)A Study into the Improvement of Binary Hopfield Networks for Map Coloring.G. Marín, E. Casermeiro, D. López-Rodríguez, and J. de Lazcano-Lobato. ICANNGA (2), volume 4432 of Lecture Notes in Computer Science, page 98-106. Springer, (2007)Improved Production of Competitive Learning Rules with an Additional Term for Vector Quantization.E. Casermeiro, D. López-Rodríguez, G. Marín, and J. de Lazcano-Lobato. ICANNGA (1), volume 4431 of Lecture Notes in Computer Science, page 461-469. Springer, (2007)Probabilistic PCA Self-Organizing Maps.E. López-Rubio, J. de Lazcano-Lobato, and D. López-Rodríguez. IEEE Trans. Neural Networks, 20 (9): 1474-1489 (2009)Self-organization of Probabilistic PCA Models.E. López-Rubio, J. de Lazcano-Lobato, D. López-Rodríguez, and M. del Carmen Vargas-González. IWANN, volume 4507 of Lecture Notes in Computer Science, page 211-218. Springer, (2007)