Takao Mohri

Statistical Learning Theory · 1997

A researcher in the Science corpus: 1 paper; 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 Takao Mohri trusts overall

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

1. Christopher G. Atkeson
2. Steven L. Salzberg
3. Amos Tversky
4. Igor Kononenko
5. Janet L. Kolodner
6. Douglas L. Medin
7. Usama M. Fayyad
8. Andrew W. Moore

Who trusts Takao Mohri overall

1. S. Kotsiantis
2. Ivo Grondman
3. Marko Robnik-Sikonja
4. Stephen Coggeshall
5. Kwang Hyuk Im

Papers from Takao Mohri's perspective

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

1. Pattern classification and scene analysis
2. Local Learning Algorithms
3. Numerical recipes in C
4. Locally Weighted Learning
5. Locally Weighted Learning for Control
6. Induction of decision trees
7. Principles of Risk Minimization for Learning Theory
8. Information Theory: 1948-1998 - Guest Editorial
9. Efficient Pattern Recognition Using a New Transformation Distance
10. UCI Repository of machine learning databases

Their papers

• A Review and Empirical Evaluation of Feature Weighting Methods for a Class of Lazy Learning Algorithms (1997)