• Fizzy

  • Referenced in 2 articles [sw38620]
  • Fizzy: feature subset selection for metagenomics. Fizzy is a feature subset selection tool (publication link ... metagenomics data analysis. fizzy will run feature selection on taxonomic abundances obtained from the biom ... subset selection tool that provides inference on the number of features that are deemed...
  • PSNO

  • Referenced in 6 articles [sw27678]
  • incremental feature selection approach to select the optimal feature subsets. Thirdly, we train our model ... algorithm. Using both informative features and an elaborate feature selection scheme, our method, PSNO, achieves...
  • FSinR

  • Referenced in 1 article [sw32004]
  • package FSinR: Feature Selection. Feature subset selection algorithms modularized in search algorithms and measure utilities...
  • PseUI

  • Referenced in 1 article [sw40020]
  • forward feature selection strategy was used to gain an effective feature subset with a compact ... discriminative prediction power. Based on the selected feature subsets, we built our model by using...
  • BCBCSF

  • Referenced in 1 article [sw07436]
  • Bayesian classification with a selected subset of high-dimensional features Class prediction based on high ... dimensional features has received a great deal of attention in many areas of application ... reasons, it is necessary to select a subset of features before fitting a statistical model ... response. However, such a feature selection procedure will result in overconfident predictive probabilities for future...
  • KnockoffGAN

  • Referenced in 5 articles [sw42243]
  • disease). Machine learning driven feature selection can enable discovery from large, high-dimensional, non-linear ... observational datasets by creating a subset of features for experts to focus on. In order ... generate knockoffs with no assumptions on the feature distribution. Our model consists of 4 networks ... capability of our model to perform feature selection, showing that it performs as well...
  • MXM

  • Referenced in 6 articles [sw15369]
  • Feature selection methods for identifying minimal, statistically-equivalent and equally-predictive feature subsets. Bayesian network...
  • BLProt

  • Referenced in 1 article [sw37439]
  • ReliefF, infogain, and mRMR. We selected five different feature subsets by decreasing the number...
  • FSLib

  • Referenced in 1 article [sw31685]
  • widely applicable MATLAB library for Feature Selection (FS). FS is an essential component of machine ... ranking and selecting a subset of relevant features according to their degrees of relevance, preference ... defined in a specific application. Because feature selection can reduce the amount of features used...
  • pi-MASS

  • Referenced in 20 articles [sw17249]
  • selection regression problem, with the SNPs as the covariates in the regression. Characteristic features ... impossible to confidently identify the complete “correct” subset of variables. Taken together, these factors...
  • ReGEC_L1

  • Referenced in 4 articles [sw21825]
  • generalized eigenvalues classifier with embedded feature selection. Supervised classification is one of the most used ... data characterized by a large number of features, a critical issue is to deal with ... algorithm needs to identify a suitable subset of features, as small as possible ... ReGEC_L1, a classifier with embedded feature selection based on the Regularized Generalized Eigenvalue Classifier...
  • ESKNN

  • Referenced in 1 article [sw26841]
  • package ESKNN: Ensemble of Subset of K-Nearest Neighbours Classifiers for Classification and Class Membership ... given. The issue of non-informative features in the data is addressed by utilizing ... ensemble method. A few optimal models are selected in the ensemble from an initially large ... subset of features from the training data. A two stage assessment is applied in selection...
  • GSPPCA

  • Referenced in 5 articles [sw25977]
  • sets and on several real unsupervised feature selection problems coming from signal processing and genomics ... GSPPCA is shown to infer biologically relevant subsets of genes. According to a metric based...
  • PECM

  • Referenced in 1 article [sw22408]
  • incremental feature selection approach to search the optimal feature subsets. Then, we train our model...
  • GlycoMine

  • Referenced in 0 articles [sw25080]
  • further two-step feature selection to characterize a condensed subset of optimal features that contributed...
  • apricot

  • Referenced in 1 article [sw37194]
  • subsets from large data sets using submodular optimization. The package implements several efficient greedy selection ... theoretical guarantees on the quality of the selected set. Additionally, several submodular set functions ... numba. We demonstrate the use of subset selection by training machine learning models to comparable ... subset thereof. This paper presents an explanation of submodular selection, an overview of the features...
  • ERZoom

  • Referenced in 1 article [sw35685]
  • unique feature that enables the designer to view a selected subset of the entities...
  • RENT

  • Referenced in 1 article [sw39621]
  • select features. Each model in the ensemble is trained using a randomly, iid sampled subset ... multiple subsets. From these unique models one can acquire weight distributions for each feature that ... rich information on the stability of feature selection and from which several adjustable classification criteria...
  • PhosphoPredict

  • Referenced in 0 articles [sw25089]
  • Maximum Relevance (mRMR) to select the most informative feature subsets that contribute to the prediction...
  • Learn++.MF

  • Referenced in 5 articles [sw37993]
  • that employs random subspace selection to address the missing feature problem in supervised classification. Unlike ... ensemble of classifiers, each on a random subset of the available features. Instances with missing...