Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Active learning (machine learning)

Known as: Pool-based active learning 
Active learning is a special case of semi-supervised machine learning in which a learning algorithm is able to interactively query the user (or some… Expand
Wikipedia

Related topics

Related topics

14 relations
Bayesian experimental designCold startEvolving intelligent systemList of datasets for machine learning research
Expand

Broader (1)

Machine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Deep Bayesian Active Learning with Image Data
Even though active learning forms an important pillar of machine learning, deep learning tools are not prevalent within it. Deep… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
Highly Cited
2010
Highly Cited
2010
Active Learning
  • D. Cohn
  • Encyclopedia of Machine Learning
  • 2010
    • Corpus ID: 30334806
Active learning is generally defined as any instructional method that engages students in the learning process. In short, active… Expand
Is this relevant?
Highly Cited
2010
Highly Cited
2010
Active Learning and Crowd-Sourcing for Machine Translation
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Active Learning by Labeling Features
Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train… Expand
  • table 1
  • table 2
  • figure 1
  • figure 2
  • figure 3
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Learning on the border: active learning in imbalanced data classification
This paper is concerned with the class imbalance problem which has been known to hinder the learning performance of… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
Support vector machine active learning for music retrieval
Searching and organizing growing digital music collections requires a computational model of music similarity. This paper… Expand
  • figure 1
  • figure 2
  • table 1
  • figure 3
  • table 2
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Combining active and semi-supervised learning for spoken language understanding
In this paper, we describe active and semi-supervised learning methods for reducing the labeling effort for spoken language… Expand
  • figure 3
  • figure 5
  • figure 7
  • figure 9
  • figure 8
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Improving generalization with active learning
Active learning differs from “learning from examples” in that the learning algorithm assumes at least some control over what part… Expand
Is this relevant?
Highly Cited
2004
Highly Cited
2004
Active learning to recognize multiple types of plankton
Active learning has been applied with support vector machines to reduce the data labeling effort in pattern recognition domains… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
2001
Highly Cited
2001
Support Vector Machine Active Learning with Applications to Text Classification
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy, Terms of Service, and Dataset License
ACCEPT & CONTINUE