Bottou

Probabilistic & Bayesian Methods · 2007

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bottou trusts overall

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

  1. Manfred Opper
  2. Matthias W. Seeger

Papers from Bottou's perspective

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

  1. In Advances in Neural Information Processing Systems
  2. Support-Vector Networks
  3. A Bayesian Committee Machine (Neural Computation)
  4. Sparse On-Line Gaussian Processes
  5. Sparse Greedy Gaussian Process Regression
  6. Sparse Gaussian Processes using Pseudo-inputs
  7. Sparse Bayesian Learning and the Relevan e Ve tor Ma hine
  8. Bayesian Gaussian process models : PAC-Bayesian generalisation error bounds and sparse approximations
  9. Sparse Online Gaussian Processes
  10. Assessing Approximate Inference for Binary Gaussian Process Classification (Journal of machine learning research)

Their papers