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Results tagged with semi-supervised-learning
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user 169650
Semi-supervised learning refers to machine learning tasks using a mix of labeled and unlabeled data. The goal is to learn a mapping from inputs to outputs, or to obtain outputs for particular unlabeled inputs. The unlabeled data is used to learn about underlying structure of the inputs, which can improve learning about the relationship between inputs and outputs. Semi-supervised learning involves elements of both supervised and unsupervised learning.
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How to develop classification model on manually-selected examples?
I'm facing a challenge while building a classification model. Much thanks in advance to everyone who would like to help!
I need to develop a classification model based on a large amount of data. My da …
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Feed guess features into unsupervised learning classification?
I've got an completely unlabeled dataset and my task is to classify it into positive and negative, two categories. As the data is unlabeled, I have to choose unsupervised classification; however, we a …
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