Label and Link Prediction in Relational Data

@inproceedings{Taskar2003LabelAL,
  title={Label and Link Prediction in Relational Data},
  author={Ben Taskar and Pieter Abbeel and Ming-Fai Wong and Daphne Koller},
  year={2003}
}
Many real-world domains are relational in nature, consisting of a set of entities linked to each other in complex ways. Two important tasks in such data are predicting entity labels and links between entities. We present a flexible framework that builds on (conditional) Markov networks and successfully addresses both tasks by capturing complex dependencies in the data. These models can compactly represent probabilistic patterns over subgraph structures and use them to predict labels and links… CONTINUE READING
Highly Cited
This paper has 33 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.

Similar Papers

Loading similar papers…