Thomas Zeugmann

Artificial Intelligence · 2006–2009

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #16,638 of 35,345 by trust here, #23,731 by citations

Whom Thomas Zeugmann trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Dana Angluin
2. Sally A. Goldman
3. Ayumi Shinohara
4. H. David Mathias
5. Michael Kearns
6. Shai Ben-David
7. Uriel Feige
8. Frank J. Balbach
9. Dimitri P. Bertsekas
10. Nadav Eiron

Who trusts Thomas Zeugmann overall

1. Xiaojin Zhu
2. Faisal Khan
3. Hayato Kobayashi
4. Maya Cakmak
5. Manuel Lopes
6. Ji Liu
7. Ayumi Shinohara

Papers from Thomas Zeugmann's perspective

Ordered by how strongly the researchers Thomas Zeugmann trusts endorse each paper. Same corpus, a different order for every researcher.

1. On the complexity of teaching
2. Teachers, learners and black boxes
3. Being taught can be faster than asking questions
4. Queries and concept learning
5. Teachability in computational learning
6. Teaching Randomized Learners
7. A Model of Interactive Teaching
8. A threshold of ln n for approximating set cover (preliminary version)
9. Queries revisited
10. Learning from Different Teachers

Their papers

• Recent Developments in Algorithmic Teaching (2009) — 55 citations
• Teaching Randomized Learners (2006) — 20 citations