Frank J. Balbach

Artificial Intelligence · 2006–2009

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #8,786 of 35,345 by trust here, #18,586 by citations
• Computational Theory and Mathematics — 5 citations into it; #5,381 of 12,182 by trust here, #6,165 by citations

Whom Frank J. Balbach 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. Leslie G. Valiant
6. Shai Ben-David
7. R. Rivest
8. Michael Kearns
9. Nadav Eiron
10. Yiqun Lisa Yin

Who trusts Frank J. Balbach overall

1. Xiaojin Zhu
2. Maya Cakmak
3. Hayato Kobayashi
4. Faisal Khan
5. Ji Liu
6. Robert D. Nowak
7. Manuel Lopes
8. Ayumi Shinohara
9. Baxter S. Eaves
10. Philippe Rigollet

Papers from Frank J. Balbach's perspective

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

1. A theory of the learnable
2. On the complexity of teaching
3. Learnability and the Vapnik-Chervonenkis dimension
4. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities
5. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
6. Being taught can be faster than asking questions
7. A theory of the learnable
8. Queries and concept learning
9. Teachability in computational learning
10. Teaching Randomized Learners

Their papers

• Recent Developments in Algorithmic Teaching (2009) — 55 citations
• Measuring teachability using variants of the teaching dimension (2008) — 53 citations
• Teaching Randomized Learners (2006) — 20 citations