Man pages for noisemodel
Noise Models for Classification Datasets

asy_def_lnAsymmetric default label noise
asy_int_anAsymmetric interval-based attribute noise
asy_spa_lnAsymmetric sparse label noise
asy_uni_anAsymmetric uniform attribute noise
asy_uni_lnAsymmetric uniform label noise
attm_uni_lnAttribute-mean uniform label noise
bord_distDistance to SVM decision boundary
bord_noiseMislabeling based on k-nearest neighbors
boud_gau_anBoundary/dependent Gaussian attribute noise
clu_vot_lnClustering-based voting label noise
diris2Ddiris2D dataset
exp_bor_lnExponential borderline label noise
exps_cuni_lnExponential/smudge completely-uniform label noise
findnoiseFind the differences between two datasets
fra_bdir_lnFraud bidirectional label noise
gam_bor_lnGamma borderline label noise
gau_bor_lnGaussian borderline label noise
gaum_bor_lnGaussian-mixture borderline label noise
glev_uni_lnGaussian-level uniform label noise
hubp_uni_lnHubness-proportional uniform label noise
imp_int_anImportance interval-based attribute noise
iris2Diris2D dataset
irs_bdir_lnIR-stable bidirectional label noise
lap_bor_lnLaplace borderline label noise
larm_uni_lnLarge-margin uniform label noise
maj_udir_lnMajority-class unidirectional label noise
mind_bdir_lnMinority-driven bidirectional label noise
minp_uni_lnMinority-proportional uniform label noise
mis_pre_lnMisclassification prediction label noise
mulc_udir_lnMultiple-class unidirectional label noise
nei_bor_lnNeighborwise borderline label noise
nlin_bor_lnNon-linearwise borderline label noise
noisetypeType of noise introduced by a noise model
oned_uni_lnOne-dimensional uniform label noise
opes_idnn_lnOpen-set ID/nearest-neighbor label noise
opes_idu_lnOpen-set ID/uniform label noise
pai_bdir_lnPairwise bidirectional label noise
plot.ndmodelPlot function for class ndmodel
pmd_con_lnPMD-based confidence label noise
print.ndmodelPrint function for class ndmodel
print.sum.ndmodelPrint function for class sum.ndmodel
qua_uni_lnQuadrant-based uniform label noise
runif_replaceRandom numbers considering reference values
safe_sampleSafe sample function
sample_replaceSample considering reference values
sco_con_lnScore-based confidence label noise
sigb_uni_lnSigmoid-bounded uniform label noise
smam_bor_lnSmall-margin borderline label noise
smu_cuni_lnSmudge-based completely-uniform label noise
summary.ndmodelSummary function for class ndmodel
sym_adj_lnSymmetric adjacent label noise
sym_cen_lnSymmetric center-based label noise
sym_con_lnSymmetric confusion label noise
sym_cuni_anSymmetric completely-uniform attribute noise
sym_cuni_cnSymmetric completely-uniform combined noise
sym_cuni_lnSymmetric completely-uniform label noise
sym_ddef_lnSymmetric double-default label noise
sym_def_lnSymmetric default label noise
symd_gau_anSymmetric/dependent Gaussian attribute noise
symd_gimg_anSymmetric/dependent Gaussian-image attribute noise
sym_dia_lnSymmetric diametrical label noise
sym_dran_lnSymmetric double-random label noise
symd_rpix_anSymmetric/dependent random-pixel attribute noise
symd_uni_anSymmetric/dependent uniform attribute noise
sym_end_anSymmetric end-directed attribute noise
sym_exc_lnSymmetric exchange label noise
sym_gau_anSymmetric Gaussian attribute noise
sym_hie_lnSymmetric hierarchical label noise
sym_hienc_lnSymmetric hierarchical/next-class label noise
sym_int_anSymmetric interval-based attribute noise
sym_natd_lnSymmetric natural-distribution label noise
sym_nean_lnSymmetric nearest-neighbor label noise
sym_nexc_lnSymmetric next-class label noise
sym_nuni_lnSymmetric non-uniform label noise
sym_opt_lnSymmetric optimistic label noise
sym_pes_lnSymmetric pessimistic label noise
sym_sgau_anSymmetric scaled-Gaussian attribute noise
sym_uni_anSymmetric uniform attribute noise
sym_uni_lnSymmetric uniform label noise
sym_usim_lnSymmetric unit-simplex label noise
ugau_bor_lnUneven-Gaussian borderline label noise
ulap_bor_lnUneven-Laplace borderline noise
unc_fixw_anUnconditional fixed-width attribute noise
uncs_guni_cnUnconditional/symmetric Gaussian/uniform combined noise
unc_vgau_anUnconditional vp-Gaussian attribute noise
noisemodel documentation built on Oct. 17, 2022, 9:05 a.m.