Results 51 to 60 of about 881,675 (221)
Bonsai: diverse and shallow trees for extreme multi-label classification [PDF]
Machine-mediated learning, 2019 Extreme multi-label classification (XMC) refers to supervised multi-label learning involving hundreds of thousands or even millions of labels. In this paper, we develop a suite of algorithms, called Bonsai, which generalizes the notion of label ...
Sujay Khandagale, Han Xiao, Rohit Babbar
semanticscholar +1 more source
An evolutionary decomposition-based multi-objective feature selection for multi-label classification [PDF]
PeerJ Computer Science, 2020 Data classification is a fundamental task in data mining. Within this field, the classification of multi-labeled data has been seriously considered in recent years. In such problems, each data entity can simultaneously belong to several categories. Multi-
Azam Asilian Bidgoli +2 more
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Multi-Label Classification with Label Graph Superimposing [PDF]
AAAI Conference on Artificial Intelligence, 2019 Images or videos always contain multiple objects or actions. Multi-label recognition has been witnessed to achieve pretty performance attribute to the rapid development of deep learning technologies. Recently, graph convolution network (GCN) is leveraged
Ya Wang +6 more
semanticscholar +1 more source
Multi-label literature classification based on the Gene Ontology graph
BMC Bioinformatics, 2008 Background The Gene Ontology is a controlled vocabulary for representing knowledge related to genes and proteins in a computable form. The current effort of manually annotating proteins with the Gene Ontology is outpaced by the rate of accumulation of ...
Lu Xinghua +3 more
doaj +1 more source
AutoML for Multi-Label Classification: Overview and Empirical Evaluation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Automated machine learning (AutoML) supports the algorithmic construction and data-specific customization of machine learning pipelines, including the selection, combination, and parametrization of machine learning algorithms as main constituents ...
Marcel Wever +3 more
semanticscholar +1 more source
Cross-modal multi-label image classification modeling and recognition based on nonlinear
Nonlinear Engineering, 2023 Recently, it has become a popular strategy in multi-label image recognition to predict those labels that co-occur in a picture. Previous work has concentrated on capturing label correlation but has neglected to correctly fuse picture features and label ...
Yuan Shuping +5 more
doaj +1 more source
Deep Extreme Multi-label Learning
, 2018 Extreme multi-label learning (XML) or classification has been a practical and important problem since the boom of big data. The main challenge lies in the exponential label space which involves $2^L$ possible label sets especially when the label ...
Wang, Xiangfeng +3 more
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Coherent Hierarchical Multi-Label Classification Networks
, 2020 Hierarchical multi-label classification (HMC) is a challenging classification task extending standard multi-label classification problems by imposing a hierarchy constraint on the classes. In this paper, we propose C-HMCNN(h), a novel approach for HMC problems, which, given a network h for the underlying multi-label classification problem, exploits the
Giunchiglia, E, Lukasiewicz, T
openaire +3 more sources
Comments on “MLCM: Multi-Label Confusion Matrix”
IEEE Access, 2023 In the paper “MLCM: Multi-Label Confusion Matrix” a method for computing the confusion matrix for the multi-label classification problem is proposed. Although the authors state that there is no similar work on computing confusion matrix for
Damir Krstinic +2 more
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Cross-Modality Attention with Semantic Graph Embedding for Multi-Label Classification [PDF]
AAAI Conference on Artificial Intelligence, 2019 Multi-label image and video classification are fundamental yet challenging tasks in computer vision. The main challenges lie in capturing spatial or temporal dependencies between labels and discovering the locations of discriminative features for each ...
Renchun You +5 more
semanticscholar +1 more source