Results 211 to 220 of about 30,417 (257)
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Meta-ELM: ELM with ELM hidden nodes
Neurocomputing, 2014Extreme Leaning Machine (ELM) simply randomly assigns input weights and biases, ineluctably leading to certain stochastic behaviors and reducing generalization performance. In this paper, we propose a meta-learning model of ELM, called Meta-ELM. The Meta-ELM architecture consists of several base ELMs and one top ELM.
Shizhong Liao
exaly +2 more sources
SOM-ELM—Self-Organized Clustering using ELM
Neurocomputing, 2015This paper presents two new clustering techniques based on Extreme Learning Machine (ELM). These clustering techniques can incorporate a priori knowledge (of an expert) to define the optimal structure for the clusters, i.e. the number of points in each cluster. Using ELM, the first proposed clustering problem formulation can be rewritten as a Traveling
Amaury Lendasse +2 more
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Integration ELMs or Interpolation ELMs?
1994Recent finite element Eulerian-Lagrangian Methods (ELMs) have traded the classical notion of interpolation at the feet of the characteristic lines for that of integration. In this paper, the stability and accuracy of selected integration and interpolation ELMs is formally analyzed and compared.
Oliveira, A., Melo Baptista, A.
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DGR-ELM–Distributed Generalized Regularized ELM for classification
Neurocomputing, 2018Abstract Extreme Learning Machine (ELM) has recently increased popularity and has been successfully applied to a wide range of applications. Variants using regularization are now a common practice in the state of the art in ELM field. The most commonly used regularization is the l2 norm, which improves generalization but result in a dense network ...
Fernando Kentaro Inaba +3 more
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Contributions to Plasma Physics, 2006
This paper presents a short overview of current trends and progress in integrated ELM modelling. First, the concept of integrated ELM modelling is introduced, various interpretations of it are given and the need for it is discussed. Then follows an overview of different techniques and methods used in integrated ELM modelling presented roughly according
Lönnroth, J. S. +28 more
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This paper presents a short overview of current trends and progress in integrated ELM modelling. First, the concept of integrated ELM modelling is introduced, various interpretations of it are given and the need for it is discussed. Then follows an overview of different techniques and methods used in integrated ELM modelling presented roughly according
Lönnroth, J. S. +28 more
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A Dutch elm disease resistant triploid elm
Canadian Journal of Forest Research, 1994A naturally occurring triploid elm hybrid was found in the American elm, Ulmusamericana L., planting on the National Mall in Washington, D.C. Chromosome examinations of mitosis in root tips and meiosis in pollen mother cells showed a chromosome complement of 2n = 3x = 42.
James L. Sherald +4 more
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‘Morfeo’ Elm: a new variety resistant to Dutch elm disease
Forest Pathology, 2011SummaryDutch elm disease (DED) has spread through Europe and North America since the beginning of the twentieth century. In response, several independent genetic improvement programmes for breeding DED‐resistant elms have been established on both sides of the Atlantic.
Santini A, Pecori F, Pepori A, Brookes A
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Genetic Manipulations with Elms
2000Genetic manipulation by transformation is a powerful alternative to conventional elm breeding programs, allowing the rapid introduction of small numbers of desirable genes into elite genotypes without disrupting their better genetic features. To achieve this, systems for the micropropagation and regeneration of English elm (Ulmus procera), American elm
Gartland, K. +6 more
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