Questions tagged [active-learning]

The tag has no usage guidance.

Filter by
Sorted by
Tagged with
0
votes
0answers
17 views

Active learning with Fisher information matrix for regression with vector output

I am trying to enhance the learning capabilities of my regression task with the help of active learning. I decided to use variance reduction using the Fisher information matrix as a query strategy as ...
1
vote
1answer
24 views

Identify outliers for annotation in text data

I read the book "Human-in-the-Loop Machine Learning" by Robert (Munro) Monarch about Active Learning. I don't understand the following approach to get a diverse set of items for humans to ...
9
votes
2answers
2k views

What is the difference between active learning and reinforcement learning?

From Wikipedia: Active learning is a special case of machine learning in which a learning algorithm can interactively query a user (or some other information source) to label new data points with the ...
3
votes
1answer
50 views

Is active learning able to detect challenging cases?

Let's say we have a set of data points that need to be labelled for a classification task. In the pool-based active learning, if we go with the uncertainty measure, is the AL approach able to detect ...
1
vote
1answer
16 views

Model selection in active learning

I am dabbling in active learning and was wondering how to combine this in seeking out the best architecture for the network. In my understanding, active learning uses a heuristic for selecting the ...
1
vote
2answers
79 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 ...
2
votes
0answers
39 views

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

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.). ...
1
vote
1answer
30 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 ...
0
votes
1answer
21 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 ...
3
votes
0answers
25 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, ...
3
votes
1answer
343 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?
1
vote
2answers
30 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 ...
0
votes
1answer
176 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
vote
1answer
100 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 ...
1
vote
0answers
42 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. ...
-2
votes
1answer
133 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
votes
1answer
613 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
votes
1answer
218 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 ...