Home › Entities › doctoral_thesis › Learning discrete and Lipschitz representations

Learning discrete and Lipschitz representations

2019 doctoral thesis by Henry Gouk at University of Waikato
Place doctoral_thesis Q112381681
Press Enter · cited answer in seconds

Learning discrete and Lipschitz representations

Summary

Learning discrete and Lipschitz representations is a doctoral thesis[1].

Key Facts

  • Learning discrete and Lipschitz representations authored Henry Gouk[2].
  • Learning discrete and Lipschitz representations's instance of is recorded as doctoral thesis[3].
  • Learning discrete and Lipschitz representations was published by Waikato Research Commons[4].
  • Learning discrete and Lipschitz representations's place of publication is recorded as Hamilton[5].
  • Learning discrete and Lipschitz representations's language of work or name is recorded as English[6].
  • Learning discrete and Lipschitz representations's country of origin is recorded as New Zealand[7].
  • Learning discrete and Lipschitz representations was released on 2019[8].
  • Learning discrete and Lipschitz representations's main subject is decision tree[9].
  • Learning discrete and Lipschitz representations's main subject is neural network[10].
  • Learning discrete and Lipschitz representations's main subject is deep learning[11].
  • Learning discrete and Lipschitz representations's main subject is machine learning[12].
  • Learning discrete and Lipschitz representations's main subject is feature learning[13].
  • Learning discrete and Lipschitz representations's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/13144[14].
  • Learning discrete and Lipschitz representations's title is recorded as Learning discrete and Lipschitz representations[15].
  • Learning discrete and Lipschitz representations's copyright holder is recorded as Henry Gouk[16].
  • Learning discrete and Lipschitz representations's thesis submitted to is recorded as University of Waikato[17].
  • Learning discrete and Lipschitz representations's on focus list of Wikimedia project is recorded as NZThesisProject[18].
  • Learning discrete and Lipschitz representations's copyright status is recorded as copyrighted[19].
  • Learning discrete and Lipschitz representations's online access status is recorded as open access[20].
  • Learning discrete and Lipschitz representations's thesis committee member is recorded as Bernhard Pfahringer[21].
  • Learning discrete and Lipschitz representations's thesis committee member is recorded as Eibe Frank[22].
  • Learning discrete and Lipschitz representations's thesis committee member is recorded as Michael J Cree[23].
  • Learning discrete and Lipschitz representations's thesis submitted for degree is recorded as Doctor of Philosophy[24].

Body

Designation and Status

Learning discrete and Lipschitz representations's instance of is recorded as doctoral thesis[3].

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.
  20. [21] ↑ . wikidata.org.
  21. [22] ↑ . wikidata.org.
  22. [23] ↑ . wikidata.org.
  23. [24] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Learning discrete and Lipschitz representations. Retrieved May 3, 2026, from https://4ort.xyz/entity/learning-discrete-and-lipschitz-representations
MLA “Learning discrete and Lipschitz representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/learning-discrete-and-lipschitz-representations.
BibTeX @misc{4ortxyz_learning-discrete-and-lipschitz-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning discrete and Lipschitz representations}}, year = {2026}, url = {https://4ort.xyz/entity/learning-discrete-and-lipschitz-representations}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Learning discrete and Lipschitz representations — https://4ort.xyz/entity/learning-discrete-and-lipschitz-representations (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/learning-discrete-and-lipschitz-representations · Last refreshed:

Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 10d ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Thesis submitted for degree → Doctor of Philosophy
    Thesis submitted to → University of Waikato
    Handle id → 10289/13144
    Place of publication → Hamilton
    + 16 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52326|batch #52326]]: UoWaikato"
Live feed via Wikidata EventStreams. New edits appear within minutes of being made on Wikidata.