Results 21 to 30 of about 2,514,522 (357)
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
Super Mean Labeling of Some Classes of Graphs [PDF]
, 2012 Approaching topics as Smarandachely super m-mean labeling, Smarandachely super m-mean graph, super mean labeling, super mean ...
P.Jeyanthi +3 more
core +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 +4 more sources
Identification of programmed cell death in situ via specific labeling of nuclear DNA fragmentation
Journal of Cell Biology, 1992 Programmed cell death (PCD) plays a key role in developmental biology and in maintenance of the steady state in continuously renewing tissues. Currently, its existence is inferred mainly from gel electrophoresis of a pooled DNA extract as PCD was shown ...
Yael Gavrieli +2 more
semanticscholar +1 more source
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
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Molecular & Cellular Proteomics, 2002 Quantitative proteomics has traditionally been performed by two-dimensional gel electrophoresis, but recently, mass spectrometric methods based on stable isotope quantitation have shown great promise for the simultaneous and automated identification and ...
Shao-En Ong +6 more
semanticscholar +1 more source
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
Estimating labels from label proportions [PDF]
Proceedings of the 25th international conference on Machine learning - ICML '08, 2008 Consider the following problem: given sets of unlabeled observations, each set with known label proportions, predict the labels of another set of observations, also with known label proportions. This problem appears in areas like e-commerce, spam filtering and improper content detection.
Novi Quadrianto +3 more
openaire +2 more sources
Super Fibonacci Graceful Labeling [PDF]
, 2011 Approaching topics such as Smarandache-Fibonacci triple, graceful labeling, Fibonacci graceful labeling, super Smarandache-Fibonacci graceful graph, super Fibonacci graceful ...
Sridevi, R. +2 more
core +1 more source