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Multi-scale Support Vector Regression

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010
A multi-kernel Support Vector Machine model, called Hierarchical Support Vector Regression (HSVR), is proposed here. This is a self-organizing (by growing) multiscale version of a Support Vector Regression (SVR) model. It is constituted of hierarchical layers, each containing a standard SVR with Gaussian kernel, at decreasing scales.
S. Ferrari   +3 more
openaire   +1 more source

Multi-scale optimization

2004
Abstract Global optimization problems with so-called ‘rough’ or rugged objective function landscapes are studied. These problems often have many, many stationary points and show considerable differences between small and large-scale geometry. A novel multi-scale global optimization algorithm for solving ‘rough’ objective functions, based on the ...
Lucia, Angelo, DiMaggio, Peter A.
openaire   +2 more sources

Multi-scale Stacked Sequential Learning

Pattern Recognition, 2009
One 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
openaire   +1 more source

Multi-scale Solutions

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
openaire   +1 more source

Multi-scale simulation of discrete systems with multi-scale supercomputer

AIP Conference Proceedings, 2013
In 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
openaire   +1 more source

Multi-scale Modeling

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.
openaire   +1 more source

Multi-scale Intent

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 ...
openaire   +1 more source

Multi‐Scale Design of Metal–Organic Framework‐Derived Materials for Energy Electrocatalysis

Advanced Energy Materials, 2022
Tianjie Qiu, Gao Song, Ruqiang Zou
exaly  

Res2Net: A New Multi-Scale Backbone Architecture

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Shang-Hua Gao   +2 more
exaly  

Multi-scale defects in powder-based additively manufactured metals and alloys

Journal of Materials Science and Technology, 2022
Jin Fu, Xu Song, M W Fu
exaly  

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