Results 81 to 90 of about 2,759,833 (308)
Feature Selection via L1-Penalized Squared-Loss Mutual Information
, 2012 Feature selection is a technique to screen out less important features. Many existing supervised feature selection algorithms use redundancy and relevancy as the main criteria to select features.
Hachiya, Hirotaka +2 more
core +1 more source
A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins
FEBS Letters, EarlyView.We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue +6 more
wiley +1 more source
Feature Selection Library (MATLAB Toolbox)
, 2018 Feature Selection Library (FSLib) is a widely applicable MATLAB library for Feature Selection (FS). FS is an essential component of machine learning and data mining which has been studied for many years under many different conditions and in diverse ...
Roffo, Giorgio
core
FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization
, 2016 In this paper, we present a new wrapper feature selection approach based on Jensen-Shannon (JS) divergence, termed feature selection with maximum JS-divergence (FSMJ), for text categorization.
He, Haibo, Tang, Bo
core +1 more source
Towards an Unsupervised Feature Selection Method for Effective Dynamic Features [PDF]
, 2021 Naif Almusallam +5 more
openalex +1 more source
FEBS Letters, EarlyView.Anaplastic thyroid cancer (ATC) lacks iodide uptake ability due to MAPK activation increasing the expression of the histone methyltransferase EZH2, which represses thyroid differentiation genes (TDGs) such as the sodium iodide symporter (NIS). Dual inhibition of MAPK (U0126) and EZH2 (EPZ6438/Tazemetostat) reverses this mechanism, thus restoring TDG ...
Diego Claro de Mello +6 more
wiley +1 more source
High-Confidence ComputingThe modern industries of today demand the classification of satellite images, and to use the information obtained from it for their advantage and growth.
Rajalaxmi Padhy +2 more
doaj +1 more source
Multi-stage Convex Relaxation for Feature Selection [PDF]
, 2011 A number of recent work studied the effectiveness of feature selection using Lasso. It is known that under the restricted isometry properties (RIP), Lasso does not generally lead to the exact recovery of the set of nonzero coefficients, due to the ...
Zhang, Tong
core
A Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize Biomass Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables [PDF]
, 2022 Chi Xu +7 more
openalex +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source