Questions tagged [active-learning]

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38 views

What is the difference between continual learning and active learning?

As per my understanding, active learning is a kind of continual learning. Is there any difference between them?
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2answers
22 views

Batch-mode active learning: How to select the batch that will bring the largest model improvement

I am facing a problem where I want to use active learning to improve my classifier. Basically, I can choose data from one (and only one) data set among a set of candidate data sets. The question is ...
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0answers
25 views

Learning curves for active learning regression

I'm applying a query-by-committee active learning algorithm to a regression task using SVMs and I would like to produce the learning curves for comparison with a baseline/passive/random learner. The ...
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1answer
69 views

What is the convergence criteria of a semi-supervised learning algorithm?

I would like to know when to stop doing semi supervision? For example, if I learn a classifier from a small dataset and then use it to label a pool of unlabelled dataset. I then use the newly labelled ...
1
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1answer
65 views

Is this approach for Active Learning correct?

Let's say that we have 10,000 unlabeled documents, and we want to use pool-based sampling with batch size of 5. And we will use least confidence (LC) for querying strategy. Is this outline of active ...
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0answers
40 views

Commercial Software for Interactive Machine Learning and Annotation in NLP

We are evaluating make or buy for a tool for interactive machine learning on legal text. With little labeling effort, it should enable for (ml layman) domain experts to build classifiers on a GUI. ...
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1answer
102 views

Help Interpreting a Active Learning Learning Curve

I am applying a active learning with a SGDClassifier (log loss function) as the base learner on some data and I have the following graphs representing the learning curve of queries vs error rate. The ...
2
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1answer
571 views

Python package for machine-learning aided data labelling

In a lot of cases unlabelled data needs to be transformed to labelled data. The best solution is to use (multiple) human classifiers. However, going to all the data by hand (i.e. in text-mining or ...
2
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1answer
212 views

Generic strategy for object detection

I have a huge collection of objects from which only a tiny fraction are in a class of interest. The collection is initially unlabelled, but labels can be added using an expensive operation (for ...