Questions tagged [active-learning]

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23 views

BIO tagging software

I would like to label character data with BIO tags as part of an active learning process on unlabelled data. I am assuming there are open source GUI tools available which I can use to make this easier ...
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0answers
30 views

What is the correct way to use Active Learning on a huge and unbalanced text dataset?

I am working on a huge and unlabeled text dataset. It has over 30M lines (= sentences). We are trying to detect illegal sentences by analyzing 20 different legal issues (e.g. racism, insults, etc.). ...
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16 views

Recommendation system with active learning

I have data where companies ask users to score a bunch of questions but some items may be randomly chosen while others are personalized. Users score higher in personalized questions on average. I have ...
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0answers
28 views

Short text data set for classification & active learning project

I am looking for datasets that contains sentences/ very short documents for a project in the field of active learning in text classification. I've looked on yelp / imdb reviews dataset but the ...
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1answer
18 views

Active learning on image classification model

Say we have a trained image classification model. Theoretically, is it possible to update the model with only a sample without retraining? If not, is there any kinds of active image classification DL ...
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0answers
22 views

Gaussian process regressor returns almost identical std for all datapoints

I am using a Gaussian process regressor as the regressor for active learning and I use its standard deviation to choose the next training inctance (the one with the highest std is chosen). However, ...
2
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1answer
150 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
25 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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1answer
107 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 ...
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1answer
83 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
41 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
119 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
594 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
215 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 ...