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Peter Tino

Showing results (1-10 of 53) with videos related to

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BMC Bioinformatics|September 25, 2009
Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arraysPeter Tino
Neural Computation|March 14, 2007
Equilibria of iterative softmax and critical temperatures for intermittent search in self-organizing neural networksPeter Tino
Neural Computation|August 28, 2012
Adaptive metric learning vector quantization for ordinal classificationShereen Fouad, Peter Tino
IEEE Transactions on Neural Networks|November 16, 2010
Minimum complexity echo state networkAli Rodan, Peter Tino
Neural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patternsGabriela Polcicová, Peter Tino
IEEE Transactions on Neural Networks|August 15, 2008
Visualization of tree-structured data through generative topographic mappingNikolaos Gianniotis, Peter Tino
Neural Computation|August 28, 2015
Indefinite Proximity Learning: A ReviewFrank-Michael Schleif, Peter Tino
IEEE Transactions on Cybernetics|June 14, 2022
Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite ManifoldFengzhen Tang, Peter Tino, Haibin Yu
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 1, 2010
Searching for coexpressed genes in three-color cDNA microarray data using a probabilistic model-based Hough TransformPeter Tino, Hongya Zhao, Hong Yan
IEEE Transactions on Neural Networks|September 25, 2004
Markovian architectural bias of recurrent neural networksPeter Tino, Michal Cernanský, Lubica Benusková
Pageof 6

Showing results (1-10 of 53) with videos related to

Sort By:
Pageof 6
BMC Bioinformatics|September 25, 2009
Basic properties and information theory of Audic-Claverie statistic for analyzing cDNA arraysPeter Tino
Neural Computation|March 14, 2007
Equilibria of iterative softmax and critical temperatures for intermittent search in self-organizing neural networksPeter Tino
Neural Computation|August 28, 2012
Adaptive metric learning vector quantization for ordinal classificationShereen Fouad, Peter Tino
IEEE Transactions on Neural Networks|November 16, 2010
Minimum complexity echo state networkAli Rodan, Peter Tino
Neural Networks : the Official Journal of the International Neural Network Society|November 24, 2004
Making sense of sparse rating data in collaborative filtering via topographic organization of user preference patternsGabriela Polcicová, Peter Tino
IEEE Transactions on Neural Networks|August 15, 2008
Visualization of tree-structured data through generative topographic mappingNikolaos Gianniotis, Peter Tino
Neural Computation|August 28, 2015
Indefinite Proximity Learning: A ReviewFrank-Michael Schleif, Peter Tino
IEEE Transactions on Cybernetics|June 14, 2022
Generalized Learning Vector Quantization With Log-Euclidean Metric Learning on Symmetric Positive-Definite ManifoldFengzhen Tang, Peter Tino, Haibin Yu
IEEE/ACM Transactions on Computational Biology and Bioinformatics|December 1, 2010
Searching for coexpressed genes in three-color cDNA microarray data using a probabilistic model-based Hough TransformPeter Tino, Hongya Zhao, Hong Yan
IEEE Transactions on Neural Networks|September 25, 2004
Markovian architectural bias of recurrent neural networksPeter Tino, Michal Cernanský, Lubica Benusková
Pageof 6