Imputation using training labels and classification via label imputation.

Thu Nguyen Pål Halvorsen Michael A. Riegler

Published in: CoRR (2023)

Keyphrases

class labels
training set
missing data
missing values
multiple imputation
multi label
multi label classification
supervised learning
training phase
training examples
data imputation
labeling effort
training process
training samples

multi label learning
classification accuracy
machine learning
decision trees
pattern recognition
labeling process
annotation effort
active learning framework
support vector
feature space
label information
multiple labels
labelled data
label space

multi instance learning
imputation methods
fully labeled
incomplete data
feature extraction
classification algorithm
support vector machine svm
support vector machine
text classification
statistical databases
semi supervised
category labels
feature vectors
partially labeled

class membership
nearest neighbor
labeled images
output space
labeled data
image labeling
active learning
pairwise
label propagation
training data
multi layer perceptron
feature selection
neural network
data sets