• XGobi

  • Referenced in 37 articles [sw11752]
  • simultaneously and linked for labeling, brushing, and sharing of projections. Missing data are accommodated...
  • DeepWalk

  • Referenced in 63 articles [sw39604]
  • DeepWalk’s latent representations on several multi-label network classification tasks for social networks such ... network, especially in the presence of missing information. DeepWalk’s representations can provide F1 scores ... higher than competing methods when labeled data is sparse. In some experiments, DeepWalk’s representations...
  • spa

  • Referenced in 4 articles [sw10496]
  • subset of the observations (labeled) and missing for the remainder (unlabeled). We examine an approach ... semi-supervised in nature (trained on the labeled and unlabeled sets), requiring iterative algorithms...
  • memisc

  • Referenced in 3 articles [sw15897]
  • management of survey data including value labels, definable missing values, recoding of variables, production...
  • PReMiuM

  • Referenced in 13 articles [sw14746]
  • response, and missing values for the covariates are handled. Several samplers and label switching moves...
  • HexaGAN

  • Referenced in 1 article [sw27773]
  • data, 2) class imbalance, and 3) missing label. Preprocessing techniques assume one of these problems...
  • DBMS/COPY

  • Referenced in 2 articles [sw27858]
  • file, variable labels, value labels, and information on missing values, DBMS/COPY (Version 3.0) offers...
  • Stat/Transfer

  • Referenced in 2 articles [sw40113]
  • statistical data – it handles missing data, value and variable labels, and all of the other...
  • sjlabelled

  • Referenced in 1 article [sw29088]
  • value and variable label attributes, to convert labelled vectors into factors or numeric (and vice ... versa), or to deal with multiple declared missing values...
  • GL2vec

  • Referenced in 1 article [sw32345]
  • either the edge label information or the structural information which Graph2vec misses with the embeddings...
  • CFLOW-AD

  • Referenced in 1 article [sw41241]
  • applications when labeling is infeasible and, moreover, when anomaly examples are completely missing...
  • sjmisc

  • Referenced in 0 articles [sw18453]
  • labelled vectors into factors (and vice versa), or to deal with multiple declared missing values ... setting and replacing missing values. The data transformation functions also support labelled data...
  • Rubik

  • Referenced in 2 articles [sw30094]
  • potential to leverage a vast amount of labeled EHR data for phenotype discovery. However, existing ... current medical knowledge and cannot directly handle missing, or noisy data. We propose Rubik...
  • BayesBinMix

  • Referenced in 3 articles [sw19815]
  • clustering binary data with or without missing values by fitting mixtures of multivariate Bernoulli distributions ... distribution. Identifiability issues are addressed by implementing label switching algorithms. The package is demonstrated...
  • dosearch

  • Referenced in 1 article [sw40184]
  • Pearl, J. (2014) ), missing data (Mohan, K. and Pearl, J. and Tian ... context-specific independence (CSI) relations through labeled directed acyclic graphs (LDAG). For details on CSIs...
  • GAP

  • Referenced in 3189 articles [sw00320]
  • GAP is a system for computational discrete algebra...
  • LAPACK

  • Referenced in 1702 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • Macaulay2

  • Referenced in 1923 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...
  • Maple

  • Referenced in 5373 articles [sw00545]
  • The result of over 30 years of cutting...
  • Mathematica

  • Referenced in 6355 articles [sw00554]
  • Almost any workflow involves computing results, and that...