Ashok Kumar Ponnuswami

Artificial Intelligence · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 8 citations into it; #34,365 of 35,345 by trust here, #26,682 by citations
• Computational Theory and Mathematics — 7 citations into it; #11,854 of 12,182 by trust here, #7,501 by citations
• Statistical Learning Theory — 5 citations into it

Whom Ashok Kumar Ponnuswami trusts overall

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

1. Robert E. Schapire
2. Michael Kearns
3. Leslie G. Valiant
4. Yoav Freund
5. Adam R. Klivans
6. David Haussler
7. Jeffrey C. Jackson
8. Uriel Feige

Who trusts Ashok Kumar Ponnuswami overall

1. Steve Hanneke

Papers from Ashok Kumar Ponnuswami's perspective

Ordered by how strongly the researchers Ashok Kumar Ponnuswami 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. An improved boosting algorithm and its implications on learning complexity
5. Learning in the presence of malicious errors
6. On the learnability of Boolean formulae
7. Decision Theoretic Generalizations of the PAC Model for Neural Net and Other Learning Applications
8. Toward efficient agnostic learning
9. Occam's Razor
10. Selection of Relevant Features and Examples in Machine Learning

Their papers

• On Agnostic Learning of Parities, Monomials, and Halfspaces (2009) — 96 citations