Questions tagged [semi-supervised-learning]
Making use of both unsupervised and supervised learning paradigms to train on a partially labelled dataset.
53 questions
8 votes
1 answer
2k views
Use of training data that has been labeled by the AI model itself
I'm a software engineer working with medical device AI models that predict diseases and other conditions. For the most part, I don't design the models but I help with getting FDA clearance for them. ...
- 183
0 votes
0 answers
116 views
Improving performance of anomaly detection using dataset?
I am leveraging an isolation forest model from the scikit-learn library for anomaly detection in a time series dataset where each point in the dataset is a data frame. However, I possess additional ...
- 111
0 votes
0 answers
55 views
Machine learning can be broken down into supervised, unsupervised, and reinforcement learning. Is there anything else?
Is it even logically possible to have a type of machine learning that doesn't fall into those three paradigms? Supervised: a dataset of inputs and outputs are fed to an algorithm which learns a ...
1 vote
1 answer
1k views
Topic classification on text data with no/few labels
I would like to achieve a classification of a text input into predefined categories. From what I have understand unsupervised approach are unfeasible if my target label is something very rare in ...
- 45
0 votes
1 answer
74 views
Why weak supervision works?
I've learned that weak supervision combines multiple labeling methods to generate labels for a large dataset. I can't understand why generated labels can be used to train a more accurate model than ...
- 3
0 votes
1 answer
38 views
forcasting anomaly in products
I have a question about the forecasting of anomalies. I would be very grateful if you could refer me to some papers that deal with this kind of problem or give me some hints to start with this problem....
- 101
0 votes
1 answer
1k views
Semi-supervised classification with SelfTrainingClassifier: no training after calling fit()
I am practicing semi-supervised learning, at the moment experimenting with sklearn.semi_supervised.SelfTrainingClassifier. I found a dataset for multiclass ...
- 299
1 vote
1 answer
494 views
What the differences between self-supervised/semi-supervised in NLP?
GPT-1 mentions both Semi-supervised learning and Unsupervised pre-training but it seems like the same to me. Moreoever, "Semi-supervised Sequence Learning" of Dai and Le also more like self-...
- 43