Timothy D. Sears
Statistics and Probability · 2005–2006
A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 17 citations into it
- Artificial Intelligence — 11 citations into it
- Statistical Learning Theory — 10 citations into it
- Control and Systems Engineering — 6 citations into it
Whom Timothy D. Sears trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapnik
- Shahar Mendelson
- Vladimir Naumovich Vapni
- Grace Wahba
- Peter L. Bartlett
- Eric R. Ziegel
- Nicholas I. Fisher
- Bernhard Schölkopf
- Alex Smola
- Michael E. Tipping
Who trusts Timothy D. Sears overall
- Ingo Steinwart
- Alex J. Cannon
- Arthur Gretton
- Stephan K. Chalup
- Mona Eberts
- Theja Tulabandhula
- Yufeng Liu
- Holger Dette
Papers from Timothy D. Sears's perspective
Ordered by how strongly the researchers Timothy D. Sears trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- Probability Inequalities for Sums of Bounded Random Variables
- Estimation of Dependences Based on Empirical Data
- Ridge Regression: Biased Estimation for Nonorthogonal Problems
- Spline Models for Observational Data
- The Elements of Statistical Learning
- The Nature of Statistical Learning
- ImageNet classification with deep convolutional neural networks
- A Few Notes on Statistical Learning Theory
- Support Vector Method for Function Approximation, Regression Estimation and Signal Processing
Their papers
- Nonparametric Quantile Estimation (2006) — 512 citations
- Nonparametric Quantile Regression (2005) — 74 citations