Jyh-Herng Chow

2009

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Whom Jyh-Herng Chow trusts overall

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

1. Jerome H. Friedman
2. J. Ross Quinlan
3. Muthu Dayalan

Who trusts Jyh-Herng Chow overall

1. Olivier Chapelle
2. Marco Pennacchiotti

Papers from Jyh-Herng Chow's perspective

Ordered by how strongly the researchers Jyh-Herng Chow trusts endorse each paper. Same corpus, a different order for every researcher.

1. Stochastic gradient boosting
2. Greedy function approximation: A gradient boosting machine.
3. Induction of decision trees
4. A Survey of Methods for Scaling Up Inductive Algorithms
5. MapReduce: simplified data processing on large clusters
6. The Nature of Statistical Learning Theory
7. The Strength of Weak Learnability
8. Algorithms for Clustering Data
9. Nearest neighbor pattern classification
10. Improved Boosting Algorithms Using Confidence-rated Predictions

Their papers

• Stochastic gradient boosted distributed decision trees (2009) — 356 citations