Your English writing platform
Discover LudwigSuggestions(1)
Exact(3)
Let y i denote the label of sample i, and let y i ∈ {+1, − 1} denote the class variable (MC or non-MC) which we can obtain by the doctor's manual annotation.
l is number of samples, x i is i th sample, and y i is the label of sample i. m i n i m i z e 1 2 ‖ w ‖ 2 + C ∑ i = 1 l ζ i s u b j e c t t o y i [ w x i + b ] ≥ 1 − ζ i ( ζ i ≥ 0, i = 1, 2, …, l ) (9).
y j is the class label of sample j.
Similar(57)
x i ∈ R n is the feature set of medical images, y i ∈ {+1, −1} is the label of samples, and i = 1,…, l, l is the number of samples.
For learning from label proportions, the training samples are divided into groups and label proportions of samples in each group are given as sample truth, instead of giving the label of each sample in the training set [11].
This predicted class is compared to the true class label c1 of sample 1.
Learning from label proportion makes it possible to predict the label of each sample by labeling the training samples group by group, which shows potential for efficient classification of HR SAR images.
The microarray experiment, including the labeling of samples, hybridization, and detection, was performed as previously reported (Ogo et al. 2007).
Isotopes of acetic anhydride were used for mass-specific labeling of samples and subsequent identification of ions with significant changes in intensity.
To solve this issue, we propose a Projective Label Propagation (ProjLP) framework by label embedding, which can deliver more discriminating "deep" labels of samples to enhance representation and classification.
The latter is more complicated and interesting because an optimal strategy consists not only of an estimator, but also of a sampling design, and the estimator may depend on the design and on the labels of sampled individuals, whereas in iid sampling, design issues and labels do not exist.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com