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Learning and Exploiting Relational Structure for Efficient Inference

doctoral thesis by Aniruddh Nath, Computer Science & Engineering, University of Washington, 2015
Place doctoral_thesis Q113668326
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Learning and Exploiting Relational Structure for Efficient Inference

Summary

Learning and Exploiting Relational Structure for Efficient Inference is a doctoral thesis[1].

Key Facts

  • Learning and Exploiting Relational Structure for Efficient Inference authored Aniruddh Nath[2].
  • Learning and Exploiting Relational Structure for Efficient Inference's instance of is recorded as doctoral thesis[3].
  • Learning and Exploiting Relational Structure for Efficient Inference's OCLC number is recorded as 910639114[4].
  • Learning and Exploiting Relational Structure for Efficient Inference's language of work or name is recorded as English[5].
  • +2015-00-00T00:00:00Z marks the founding of Learning and Exploiting Relational Structure for Efficient Inference[6].
  • Learning and Exploiting Relational Structure for Efficient Inference's work available at URL is recorded as http://hdl.handle.net/1773/33134[7].
  • Learning and Exploiting Relational Structure for Efficient Inference's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q1069725', 'amount': '+126'}[8].
  • Learning and Exploiting Relational Structure for Efficient Inference's number of pages is recorded as {'unit': 'http://www.wikidata.org/entity/Q56761382', 'amount': '+5'}[9].
  • Learning and Exploiting Relational Structure for Efficient Inference's Handle ID is recorded as 1773/33134[10].
  • Learning and Exploiting Relational Structure for Efficient Inference's title is recorded as Learning and Exploiting Relational Structure for Efficient Inference[11].
  • Learning and Exploiting Relational Structure for Efficient Inference's thesis submitted to is recorded as University of Washington[12].
  • Learning and Exploiting Relational Structure for Efficient Inference's on focus list of Wikimedia project is recorded as WikiProject PCC Wikidata Pilot/University of Washington[13].
  • Learning and Exploiting Relational Structure for Efficient Inference's thesis committee member is recorded as Pedro Domingos[14].

Body

Designation and Status

Learning and Exploiting Relational Structure for Efficient Inference's instance of is recorded as doctoral thesis[3].

History and Context

+2015-00-00T00:00:00Z marks the founding of Learning and Exploiting Relational Structure for Efficient Inference[6].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . WorldCat. Retrieved . wikidata.org.
  2. [2] ↑ . WorldCat. Retrieved . wikidata.org.
  3. [4] ↑ . WorldCat. Retrieved . wikidata.org.
  4. [5] ↑ . WorldCat. Retrieved . wikidata.org.
  5. [6] ↑ . WorldCat. Retrieved . wikidata.org.
  6. [7] ↑ . WorldCat. Retrieved . wikidata.org.
  7. [8] ↑ . WorldCat. Retrieved . wikidata.org.
  8. [9] ↑ . WorldCat. Retrieved . wikidata.org.
  9. [10] ↑ . WorldCat. Retrieved . wikidata.org.
  10. [11] ↑ . WorldCat. Retrieved . wikidata.org.
  11. [12] ↑ . WorldCat. Retrieved . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . WorldCat. Retrieved . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Learning and Exploiting Relational Structure for Efficient Inference. Retrieved May 3, 2026, from https://4ort.xyz/entity/learning-and-exploiting-relational-structure-for-efficient-inference
MLA “Learning and Exploiting Relational Structure for Efficient Inference.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/learning-and-exploiting-relational-structure-for-efficient-inference.
BibTeX @misc{4ortxyz_learning-and-exploiting-relational-structure-for-efficient-inference_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning and Exploiting Relational Structure for Efficient Inference}}, year = {2026}, url = {https://4ort.xyz/entity/learning-and-exploiting-relational-structure-for-efficient-inference}, note = {Accessed: 2026-05-03}}
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