Alexander V. Nazin

Artificial Intelligence · 2005

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

Whom Alexander V. Nazin trusts overall

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

  1. Jerome H. Friedman
  2. Robert E. Schapire
  3. Amir Beck
  4. Tong Zhang
  5. Nicolò Cesa-Bianchi
  6. Peter L. Bartlett
  7. Alexandre B. Tsybakov

Papers from Alexander V. Nazin's perspective

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

  1. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  2. Mirror descent and nonlinear projected subgradient methods for convex optimization
  3. Problem Complexity and Method Efficiency in Optimization
  4. Optimal aggregation of classifiers in statistical learning
  5. Statistical behavior and consistency of classification methods based on convex risk minimization
  6. On the generalization ability of on-line learning algorithms
  7. Boosting the margin: A new explanation for the effectiveness of voting methods
  8. Convexity, Classification, and Risk Bounds
  9. Solving large scale linear prediction problems using stochastic gradient descent algorithms
  10. ImageNet classification with deep convolutional neural networks

Their papers