Linda Kaufman

1996

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

Whom Linda Kaufman trusts overall

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

1. Vladimir Naumovich Vapnik

Who trusts Linda Kaufman overall

1. Aditya Khosla
2. Young Geun Kim
3. G. Huang
4. Bhaskar Saha
5. Chaopeng Shen
6. Vojislav Kecman

Papers from Linda Kaufman's perspective

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

1. Subset Selection in Regression
2. The Nature of Statistical Learning
3. Statistical Learning Theory
4. UCI Repository of machine learning databases
5. Wrappers for Feature Subset Selection
6. A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. Adaptive Regularization in Neural Network Modeling
9. Bounds on Error Expectation for Support Vector Machines (Neural Computation)
10. Ridge Regression: Biased Estimation for Nonorthogonal Problems

Their papers

• Support Vector Regression Machines (1996)