Results 21 to 30 of about 759,283 (267)
Multi-Label Classification with Label Clusters
Knowledge and Information Systems, 2023 Abstract Multi-Label Classification is the task of simultaneously predicting a set of labels for an instance. Typically, two approaches are used: global, which trains a single classifier to deal with all classes at once, and local, which divides the problem into many binary problems.
Elaine Cecília Gatto +2 more
openaire +2 more sources
The role of exercise and diet in maintaining bone health
Journal of Physical Fitness and Sports Medicine, 2012 Prevention is the most important measure against osteoporosis, since bone mass, once it is lost, cannot be recovered. Bone mass, in both men and women, reaches a maximum level in the 20s to 30s age range, and maintains this level or slightly increases ...
Yoshiko Ishimi, Kaoru Yanaka
doaj +1 more source
طب انتظامی, 2023 Aims: The correct registration and labeling of anesthetic drugs in the operating room are the basic and important principles in order to maintain patient safety, reduce the wastage of drugs and their subsequent costs, and reduce environmental pollution ...
Parisa Moradimajd +2 more
doaj +1 more source
Point labeling with sliding labels
Computational Geometry, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van Kreveld, M.J. +2 more
openaire +2 more sources
LABEL PROPAGATION FOR LEARNING WITH LABEL PROPORTIONS [PDF]
2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), 2018 Accepted to MLSP ...
Rafael Poyiadzi +2 more
openaire +5 more sources
Multi-label Learning with Label Enhancement [PDF]
2018 IEEE International Conference on Data Mining (ICDM), 2018 The task of multi-label learning is to predict a set of relevant labels for the unseen instance. Traditional multi-label learning algorithms treat each class label as a logical indicator of whether the corresponding label is relevant or irrelevant to the instance, i.e., +1 represents relevant to the instance and -1 represents irrelevant to the instance.
Ruifeng Shao +2 more
openaire +3 more sources
Translational Oncology, 2019 Off-target activities of drug candidates observed during in vitro pharmacological profiling frequently do not translate to adverse events (AEs) in human. This could be because off-target activities do not have functional consequences, are not observed at
Hamid R. Amouzadeh +6 more
doaj +1 more source
Multi-label Classification with Meta-Labels [PDF]
2014 IEEE International Conference on Data Mining, 2014 The area of multi-label classification has rapidly developed in recent years. It has become widely known that the baseline binary relevance approach can easily be outperformed by methods which learn labels together. A number of methods have grown around the label power set approach, which models label combinations together as class values in a multi ...
Jesse Read, Antti Puurula, Albert Bifet
openaire +3 more sources
Labeling of Polysaccharides with Biotin and Fluorescent Dyes
Polysaccharides, 2023 Examples of labeling polysaccharides at hydroxyl groups are described in this paper, which are especially in demand for molecules with a blocked reducing end.
Alexander Tuzikov +8 more
doaj +1 more source
Journal of Nutritional Science, 2012 Equol is a metabolite of the isoflavone daidzein (Dz) and is produced by the bacterial microflora in the distal intestine and colon. Some epidemiological studies have reported an association between increased equol production and intakes of green tea or ...
Yuko Tousen +3 more
doaj +1 more source