Results 31 to 40 of about 2,514,522 (357)
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
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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
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Efficient proximity labeling in living cells and organisms with TurboID
Nature Biotechnology, 2018 Protein interaction networks and protein compartmentalization underlie all signaling and regulatory processes in cells. Enzyme-catalyzed proximity labeling (PL) has emerged as a new approach to study the spatial and interaction characteristics of ...
Tess C. Branon +8 more
semanticscholar +1 more source
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
Iterative Pseudo-Labeling for Speech Recognition [PDF]
Interspeech, 2020 Pseudo-labeling has recently shown promise in end-to-end automatic speech recognition (ASR). We study Iterative Pseudo-Labeling (IPL), a semi-supervised algorithm which efficiently performs multiple iterations of pseudo-labeling on unlabeled data as the ...
Qiantong Xu +5 more
semanticscholar +1 more source
SCOOTER: A compact and scalable dynamic labeling scheme for XML updates [PDF]
, 2012 Although dynamic labeling schemes for XML have been the focus of recent research activity, there are significant challenges still to be overcome. In particular, though there are labeling schemes that ensure a compact label representation when creating ...
O\u27Connor, Martin F. +4 more
core +1 more source
Labeling Terms and Production Claims Influence Consumers’ Palatability Perceptions of Ground Beef
Meat and Muscle Biology, 2022 The objective of this study was to evaluate consumers’ palatability ratings of ground beef from the same source when provided information about the labeling prior to evaluation. Chubs (n=15) from the same production lot and day of 80% lean/20% fat ground
Erin Beyer +7 more
doaj +2 more sources
Evaluating the Architecture of Ketabak Website from an Information Architecture Perspective [PDF]
کتابداری و اطلاعرسانی, 2020 Objective: This paper aimed to do a comparative evaluation of Ketabak website architecture based on the main components of information architecture. Methodology: Content analysis and evaluation were used.
Parinaz Babaei, Amir Hossein Seddighi
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
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning
AAAI Conference on Artificial Intelligence, 2020 In this paper we revisit the idea of pseudo-labeling in the context of semi-supervised learning where a learning algorithm has access to a small set of labeled samples and a large set of unlabeled samples.
Paola Cascante-Bonilla +3 more
semanticscholar +1 more source