Jeffrey C. Jackson

Statistical Learning Theory · 1994

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Jeffrey C. Jackson trusts overall

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

1. Yoav Freund
2. Robert E. Schapire
3. Nick Littlestone
4. Eyal Kushilevitz
5. Leslie G. Valiant
6. Yishay Mansour
7. Avrim Blum
8. Michael Kearns
9. Merrick L. Furst
10. Anselm Blumer

Who trusts Jeffrey C. Jackson overall

1. Vitaly Feldman
2. Adam R. Klivans
3. Rocco A. Servedio
4. Adam Tauman Kalai
5. Parikshit Gopalan
6. Florian Tramèr
7. Surbhi Goel
8. Ilias Diakonikolas
9. Dmitry Gavinsky
10. Andrej Bogdanov

Papers from Jeffrey C. Jackson's perspective

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

1. A theory of the learnable
2. The Strength of Weak Learnability
3. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm
4. A decision-theoretic generalization of on-line learning and an application to boosting
5. An improved boosting algorithm and its implications on learning complexity
6. Learning decision trees using the Fourier spectrum
7. A Probabilistic Theory of Pattern Recognition
8. Statistical learning theory
9. Weakly learning DNF and characterizing statistical query learning using Fourier analysis
10. A theory of the learnable

Their papers

• Weakly learning DNF and characterizing statistical query learning using Fourier analysis (1994)
• An efficient membership-query algorithm for learning DNF with respect to the uniform distribution (1994)