Results 21 to 30 of about 7,571,754 (304)
Simpler is better: a novel genetic algorithm to induce compact multi-label chain classifiers [PDF]
, 2015 Multi-label classification (MLC) is the task of assigning multiple class labels to an object based on the features that describe the object. One of the most effective MLC methods is known as Classifier Chains (CC).
Plastino, Alexandre +5 more
core +1 more source
A review of multi-instance learning assumptions [PDF]
, 2010 Multi-instance (MI) learning is a variant of inductive machine learning, where each learning example contains a bag of instances instead of a single feature vector.
Frank, Eibe, Foulds, James Richard
core +1 more source
Zero‐shot multi‐label learning via label factorisation
IET Computer Vision, 2019 This study considers the zero‐shot learning problem under the multi‐label setting where each test sample is associated with multiple labels that are unseen in training data.
Hang Shao +3 more
doaj +1 more source
A Unified Framework for Graph-Based Multi-View Partial Multi-Label Learning
IEEE Access, 2023 Multi-view partial multi-label learning (MVPML) is a fundenmental problem where each sample is linked to multiple kinds of features and candidate labels, including ground-truth and noise labels.
Jiazheng Yuan +3 more
doaj +1 more source
EnzML : multi-label prediction of enzyme classes using InterPro signatures [PDF]
, 2012 LDF is funded by ONDEX DTG, BBSRC TPS Grant BB/F529038/1 of the Centre for Systems Biology at Edinburgh and the University of Newcastle. SA is supported by by a Wellcome Trust Value In People award and, together with IG, the Centre for Systems Biology at
Goryanin Igor +14 more
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Expede Herculem: Learning Multi Labels From Single Label
IEEE Access, 2018 Although there has been a lot of research in multi-label learning task, little attention has been paid on the weak label problem, in which only a subset of labels has been assigned to each instance in the training set.
Dejun Mu +5 more
doaj +1 more source
Learning multi-label scene classification [PDF]
Pattern Recognition, 2004 In classic pattern recognition problems, classes are mutually exclusive by definition. Classification errors occur when the classes overlap in the feature space. We examine a different situation, occurring when the classes are, by definition, not mutually exclusive.
Matthew R. Boutell +3 more
openaire +1 more source
A hierarchical multi-label classification ant colony algorithm for protein function prediction [PDF]
, 2010 This paper proposes a novel ant colony optimisation (ACO) algorithm tailored for the hierarchical multi-label classification problem of protein function prediction.
Otero, Fernando E.B. +5 more
core +1 more source
Active learning with label correlation exploration for multi‐label image classification
IET Computer Vision, 2017 Multi‐label image classification has attracted considerable attention in machine learning recently. Active learning is widely used in multi‐label learning because it can effectively reduce the human annotation workload required to construct high ...
Jian Wu +5 more
doaj +1 more source
A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine
IEEE Access, 2017 Multi-label learning plays a critical role in the areas of data mining, multimedia, and machine learning. Although many multi-label approaches have been proposed, few of them have considered to de-emphasize the effect of noisy features in the learning ...
Jing-Jing Li +3 more
doaj +1 more source