• Published 2012

Design and Analysis of the Nomao challenge Active Learning in the Real-World

@inproceedings{Candillier2012DesignAA,
  title={Design and Analysis of the Nomao challenge Active Learning in the Real-World},
  author={Laurent Candillier and Vincent Lemaire},
  year={2012}
}
Active Learning is an active area of research in the Machine Learning and Data Mining communities. In parallel, needs for efficient active learning methods are raised in real-world applications. As an illustration, we present in this paper an active learning challenge applied to a real-world application named Nomao. Nomao is a search engine of places. It aggregates information coming from multiple sources on the web to propose complete information related to a place. In this context, active… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 27 REFERENCES

Interactive deduplication using active learning

VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Batch-mode active learning by using misclassified data

  • T. Sun, J. Zhou
  • Proc. of the ALRA Workshop (Active Learning in Real-world Applications), held at ECML-PKDD.
  • 2012

Nomao : la recherche géolocalisée personnalisée

VIEW 1 EXCERPT

Boosting Multi-Task Weak Learners with Applications to Textual and Social Data

VIEW 1 EXCERPT

Exploration vs

  • A. Bondu, V. Lemaire, M. Boullé
  • exploitation in active learning : a bayesian approach. In: International Joint Conference on Neural Networks (IJCNN).
  • 2010
VIEW 1 EXCERPT

Exploration vs. exploitation in active learning : A Bayesian approach

Model Selection: Beyond the Bayesian/Frequentist Divide

VIEW 1 EXCERPT

Active Learning Literature Survey

VIEW 1 EXCERPT