Results 71 to 80 of about 102,167 (290)
Multivariate Feature Ranking With High-Dimensional Data for Classification Tasks
IEEE Access, 2022 In many machine learning classification problems, datasets are usually of high dimensionality and therefore require efficient and effective methods for identifying the relative importance of their attributes, eliminating the redundant and irrelevant ones.
Fernando Jimenez +4 more
doaj +1 more source
Efficient Feature Weighting Methods for Ranking
, 2009 Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generalization performance of ranking functions in information retrieval.
Yu, Hwanjo +5 more
core +1 more source
Feature ranking for the Full Oklahoma dataset.
, 2022 Feature ranking for the Full Oklahoma dataset.
Rachel Bennett (7649594) +4 more
core +1 more source
Machine Learning for Extraction of Image Features Associated with Progression of Geographic Atrophy
BioMedInformaticsBackground: Several studies have investigated various features and models in order to understand the growth and progression of the ocular disease geographic atrophy (GA).
Janan Arslan, Kurt Benke
doaj +1 more source
Energy Conservation in Wireless Sensor Networks Using Partly-Informed Sparse Autoencoder
IEEE Access, 2019 The energy in wireless sensor networks is considered a scarce commodity, especially in scenarios where it is difficult or impossible to provide supplementary energy sources once the initially available energy is used up.
Babajide O. Ayinde, Abdulaziz Y. Barnawi
doaj +1 more source
Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers
Molecular Oncology, EarlyView.This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel +6 more
wiley +1 more source
A Combination of Traditional and Polarimetric Features for Oil Spill Detection Using TerraSAR-X
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016 Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in the marine environment, as they are independent of sun light and weather-induced phenomena.
Suman Singha +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson +9 more
wiley +1 more source
A Feature Ranking Model with Redundancy Control
工程科学与技术, 2016 :Aimed at problems of feature redundancy caused by the fact that feature correlation was seldom considered in the feature ranking methods,a feature ranking model with redundancy control was proposed.Maximum discrimination ability and minimum redundancy ...
周星, 刁兴春, 曹建军
doaj
Molecular Oncology, EarlyView.Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source