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Biometrics, 2010
In 2002, Ker-Chau Li introduced the liquid association measure to characterize three-way interactions between genes, and developed a computationally efficient estimator that can be used to screen gene expression microarray data for such interactions.
Ho, Yen-Yi +3 more
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In 2002, Ker-Chau Li introduced the liquid association measure to characterize three-way interactions between genes, and developed a computationally efficient estimator that can be used to screen gene expression microarray data for such interactions.
Ho, Yen-Yi +3 more
openaire +3 more sources
Vector Associative Memory Models
Automation and Remote Control, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kryzhanovskij, B. V., Litinskij, L. B.
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IFAC Proceedings Volumes, 2001
Abstract This paper introduces a class of nonlinear discrete-time dynamic models that generalize familiar linear model structures; our motivation is to explore the degree to which known results for the linear case do or do not extend to this nonlinear class.
R.K. Pearson, Ü. Kotta
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Abstract This paper introduces a class of nonlinear discrete-time dynamic models that generalize familiar linear model structures; our motivation is to explore the degree to which known results for the linear case do or do not extend to this nonlinear class.
R.K. Pearson, Ü. Kotta
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Surfaces Associated with Sigma Models
Studies in Applied Mathematics, 2006We present a unified method of construction of surfaces associated with Grassmannian sigma models, expressed in terms of an orthogonal projector. This description leads to compact formulae for structural equations of two‐dimensional surfaces immersed in thesu(N) algebra.
Grundland, A. M., Šnobl, L.
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Computational models of association cortex
Current Opinion in Neurobiology, 2000Recent computational models, or mathematical realizations of neurobiological theories, are providing insights into the organization and workings of the association cortex. Such models concern the construction of cortical maps, the neural basis of cognitive functions such as visual perception, reward-motivated learning and some aspects of consciousness.
T, Gisiger, S, Dehaene, J P, Changeux
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