Results 31 to 40 of about 261,223 (281)
Self Organizing Maps to efficiently cluster and functionally interpret protein conformational ensembles [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 An approach that combines Self-Organizing maps, hierarchical clustering and network components is presented, aimed at comparing protein conformational ensembles obtained from multiple Molecular Dynamic simulations.
Fabio Stella +2 more
doaj +1 more source
Self-Organizing Maps and Parton Distributions Functions
, 2010 We present a new method to extract parton distribution functions from high energy experimental data based on a specific type of neural networks, the Self-Organizing Maps. We illustrate the features of our new procedure that are particularly useful for an
Holcomb, K., Liuti, S., Perry, D. Z.
core +1 more source
Orbital: The Electronic Journal of Chemistry, 2017 Physical-chemical analysis data were collected, from 998 ethanol samples of automotive ethanol commercialized in the northern, midwestern and eastern regions of the state of Paraná.
Aline Regina Walkoff +5 more
doaj +3 more sources
Mapping model behaviour using Self-Organizing Maps [PDF]
Hydrology and Earth System Sciences, 2009 Hydrological model evaluation and identification essentially involves extracting and processing information from model time series. However, the type of information extracted by statistical measures has only very limited meaning because it does not ...
M. Herbst, H. V. Gupta, M. C. Casper
doaj
Moving Object Detection Fused with SORM Background Model and DTCNN Threshold Model [PDF]
Jisuanji gongcheng, 2016 For reducing the impact on the performance of moving object detection by dynamic background,a moving object detection method is proposed.This method is fused with Self-organizing Retinotopic Maps(SORM) background model and Discrete Time Cellular Neural ...
JIA Lijuan
doaj +1 more source
, 2021 Los mapas auto-organizados o redes de Kohonen (SOM por sus siglas en inglés, self-organizing map) fueron introducidos por el profesor finlandés Teuvo Kalevi Kohonen en los años 80. Un mapa auto-organizado es una herramienta que analiza datos en muchas dimensiones con relaciones complejas entre ellos y los reduce o representa en, usualmente, una, dos o ...
openaire +2 more sources
Can Self-Organizing Maps accurately predict photometric redshifts?
, 2012 We present an unsupervised machine learning approach that can be employed for estimating photometric redshifts. The proposed method is based on a vector quantization approach called Self--Organizing Mapping (SOM).
Bonfield D. G. +5 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior +7 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background PIK3CA‐related overgrowth spectrum (PROS) includes several rare overgrowth disorders resulting from somatic gain‐of‐function mutations in PIK3CA. Despite treatment advances, including the recent approval of alpelisib for PROS in the United States, literature detailing the patient experience with PROS is limited.
Vamsi Bollu +8 more
wiley +1 more source
Winner-Relaxing Self-Organizing Maps
, 2004 A new family of self-organizing maps, the Winner-Relaxing Kohonen Algorithm, is introduced as a generalization of a variant given by Kohonen in 1991. The magnification behaviour is calculated analytically.
Claussen, Jens Christian
core +1 more source