Results 111 to 120 of about 6,871,211 (381)
Stability of feature selection algorithm: A review
Journal of King Saud University: Computer and Information Sciences, 2022 Feature selection technique is a knowledge discovery tool which provides an understanding of the problem through the analysis of the most relevant features.
Utkarsh Mahadeo Khaire, R. Dhanalakshmi
doaj
Bayesian Penalized Method for Streaming Feature Selection
IEEE Access, 2019 The online feature selection with streaming features has become more and more important in recent years. In contrast to standard feature selection method, streaming feature selection method can select feature dynamically without exploring full feature ...
Xiao-Ting Wang, Xin-Ze Luan
doaj +1 more source
Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
Genome Biology, 2019 Single-cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells. Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using negative controls, we show UMI counts follow multinomial sampling with no zero inflation.
F. W. Townes +3 more
semanticscholar +1 more source
Human-in-the-Loop Feature Selection
Proceedings of the AAAI Conference on Artificial Intelligence, 2019 Feature selection is a crucial step in the conception of Machine Learning models, which is often performed via datadriven approaches that overlook the possibility of tapping into the human decision-making of the model’s designers and users. We present a human-in-the-loop framework that interacts with domain experts by collecting their feedback ...
Correia, Alvaro, Lecue, Freddy
openaire +5 more sources
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Feature selection based on bootstrapping
2005 ICSC Congress on Computational Intelligence Methods and Applications, 2006 The results of feature selection methods have a great influence on the success of data mining processes, especially when the data sets have high dimensionality. In order to find the optimal result from feature selection methods, we should check each possible subset of features to obtain the precision on classification, i.e., an exhaustive search ...
Díaz Díaz, Norberto +3 more
openaire +3 more sources
FEBS Letters, EarlyView.To explore the impact of the overexpression of the multidrug‐transporter P‐glycoprotein (ABCB1) on membrane fluidity, we compared the transversal gradient of mobility and microviscosity in plasma membranes of drug‐sensitive Chinese hamster ovary cells (AuxB1) and their multidrug‐resistant derivatives (B30) using the fluorescent n‐(9‐anthroyloxy) fatty ...
Roger Busche +2 more
wiley +1 more source
Informative Feature Selection for Domain Adaptation
IEEE Access, 2019 Domain adaptation aims at extracting knowledge from an auxiliary source domain to assist the learning task in a target domain. When the data distribution of the target domain is different from that of the source domain, the direct use of source data for ...
Feng Sun +5 more
doaj +1 more source
Dynamic Fuzzy Rough Feature Selection Algorithm
Jisuanji kexue yu tansuo, 2020 Since data update over time and space constantly, many rough set based incremental techniques have been proposed. Whereas there is less work on fuzzy rough set based feature selection (i.e., attribute reduction) from the dynamic data, especially the ...
NI Peng, LIU Yangming, ZHAO Suyun, CHEN Hong, LI Cuiping
doaj +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