Results 291 to 300 of about 71,682 (342)

PEARL: Protein Eluting Alginate with Recombinant Lactobacilli. [PDF]

open access: yesSmall
Tadimarri VS   +7 more
europepmc   +1 more source

Soft Partition-based KAPI-ELM for Multi-Scale PDEs [PDF]

open access: green
Vikas Dwivedi   +2 more
openalex  

Colorectal Polyp Size Measurement Faces Infinite Possibilities: Artificial Intelligence Is the Key.

open access: yesDigestion
Wang CL   +12 more
europepmc   +1 more source

Meta-ELM: ELM with ELM hidden nodes

Neurocomputing, 2014
Extreme 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, Chang Feng
openaire   +1 more source

SOM-ELM—Self-Organized Clustering using ELM

Neurocomputing, 2015
This 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
Yoan Miche   +7 more
openaire   +5 more sources

Integration ELMs or Interpolation ELMs?

1994
Recent 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.
openaire   +2 more sources

DGR-ELM–Distributed Generalized Regularized ELM for classification

Neurocomputing, 2018
Abstract 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
openaire   +2 more sources

Siberian Elm, Elm Leaf Beetle Control, 1977

Insecticide and Acaricide Tests, 1978
Abstract A native planting of Siberian elms, approximately 15 ft in height located 8 miles east of Stillwater, Oklahoma, were selected for this test. Trees were treated on June 10 after a large egg hatch was observed. Larvae were 1/8 to 3/8 inch in length.
Richard Price   +3 more
openaire   +1 more source

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