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Multi-scale Stacked Sequential Learning
Pattern Recognition, 2009One of the most widely used assumptions in supervised learning is that data is independent and identically distributed. This assumption does not hold true in many real cases. Sequential learning is the discipline of machine learning that deals with dependent data such that neighboring examples exhibit some kind of relationship. In the literature, there
Carlo Gatta, Eloi Puertas, Oriol Pujol
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2008
The governing field equations in doublet mechanics involve scaling parameters η α which, for every doublet α, represent the distance between two adjacent nodes in the underlying Bravais lattice comprising the body. Here, α = 1, ..., n, where n is the valence of the Bravais lattice. We expect the physical response of bodies modeled by doublet mechanics,
M. Ferrari, A. Imam
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The governing field equations in doublet mechanics involve scaling parameters η α which, for every doublet α, represent the distance between two adjacent nodes in the underlying Bravais lattice comprising the body. Here, α = 1, ..., n, where n is the valence of the Bravais lattice. We expect the physical response of bodies modeled by doublet mechanics,
M. Ferrari, A. Imam
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Multi-scale simulation of discrete systems with multi-scale supercomputer
AIP Conference Proceedings, 2013In this presentation we give an overview on the attempts of our group to speedup the simulation of discrete systems, e.g., molecules, particles and particle-fluid systems, with multi-scale numerical methods as well as multi-scale computer hardware. We demonstrate that this structural consistency between the software and hardware is vital for effective ...
Wei Ge, Jinghai Li
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2006
If a mathematical model contains many different scales the computational cost for its numerical solution is very large. The smallest scale must be resolved over the distance of the largest scale. A huge number of unknowns are required and until recently many such problems could not be treated computationally.
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If a mathematical model contains many different scales the computational cost for its numerical solution is very large. The smallest scale must be resolved over the distance of the largest scale. A huge number of unknowns are required and until recently many such problems could not be treated computationally.
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2018
A multi-scale framework of intents is described for purposeful agents as a tool to explore the dynamics of cooperation, collaboration, conflict and competition between humans, both as individuals and as groups. The framework spans multiple timescales over which intentions persist - from the most transient (the next action to be taken) to the most ...
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A multi-scale framework of intents is described for purposeful agents as a tool to explore the dynamics of cooperation, collaboration, conflict and competition between humans, both as individuals and as groups. The framework spans multiple timescales over which intentions persist - from the most transient (the next action to be taken) to the most ...
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ACM SIGGRAPH 96 Visual Proceedings: The art and interdisciplinary programs of SIGGRAPH '96 on - SIGGRAPH '96, 1996
M. Sheelagh T. Carpendale +2 more
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M. Sheelagh T. Carpendale +2 more
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