Daniel Grossman

Artificial Intelligence · 2004

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #24,737 of 35,345 by trust here, #31,361 by citations

Whom Daniel Grossman trusts overall

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

1. Jerome H. Friedman
2. Yuhai Wu
3. David E. Heckerman
4. Ron Kohavi
5. Peter Spirtes
6. Nir Friedman
7. Dan Geiger
8. Foster J. Provost
9. Judea Pearl
10. George H. John

Who trusts Daniel Grossman overall

1. Liangxiao Jiang
2. Harry Zhang
3. Zhihua Cai
4. Niels Landwehr
5. Oksana Yakhnenko

Papers from Daniel Grossman's perspective

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

1. Approximating discrete probability distributions with dependence trees
2. Probabilistic reasoning in intelligent systems - networks of plausible inference
3. UCI Repository of machine learning databases
4. On Bias, Variance, 0/1—Loss, and the Curse-of-Dimensionality
5. Learning Bayesian networks: The combination of knowledge and statistical data
6. Causation, prediction, and search
7. Pattern classification and scene analysis
8. Statistical Learning Theory
9. Wrappers for Feature Subset Selection
10. Information Theory: 1948-1998 - Guest Editorial

Their papers

• Learning Bayesian network classifiers by maximizing conditional likelihood (2004) — 341 citations