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Machine Learning in Vector Models of Neural Networks.

, , and . Advances in Machine Learning II, volume 263 of Studies in Computational Intelligence, Springer, (2010)

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Eigenvalue Problem Approach to Discrete Minimization.. ICANN (2), volume 3697 of Lecture Notes in Computer Science, page 405-410. Springer, (2005)Multiplicative Neural Network with Thresholds., and . IJCCI, page 523-528. SciTePress, (2013)Neural Networks of the Hopfield Type.. IWANN (1), volume 1606 of Lecture Notes in Computer Science, page 287-296. Springer, (1999)Cluster Domains in Binary Minimization Problems.. ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 638-647. Springer, (2007)Local Minima of a Quadratic Binary Functional with a Quasi-Hebbian Connection Matrix., , and . ICANN (3), volume 6354 of Lecture Notes in Computer Science, page 41-51. Springer, (2010)Machine Learning in Vector Models of Neural Networks., , and . Advances in Machine Learning II, volume 263 of Studies in Computational Intelligence, Springer, (2010)Elimination of a Catastrophic Destruction of a Memory in the Hopfield Model., , and . EANN, volume 311 of Communications in Computer and Information Science, page 1-10. Springer, (2012)Neural Network Clustering Based on Distances Between Objects., and . ICANN (2), volume 4132 of Lecture Notes in Computer Science, page 437-443. Springer, (2006)Properties of the Hopfield Model with Weighted Patterns., , and . ICANN (1), volume 7552 of Lecture Notes in Computer Science, page 9-16. Springer, (2012)An Effective Associative Memory for Pattern Recognition., , and . IDA, volume 2810 of Lecture Notes in Computer Science, page 179-186. Springer, (2003)