Becker

2003

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

Whom Becker trusts

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

1. Radford M. Neal (in Probabilistic & Bayesian Methods)

Papers from Becker's perspective

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

1. Bayesian learning for neural networks
2. Pattern-recognizing stochastic learning automata
3. High Dimensional Classification with Bayesian Neural Networks and Dirichlet Diffusion Trees
4. Structural Risk Minimization for Character Recognition
5. Probabilistic reasoning in intelligent systems: Networks of plausible inference
6. Computational and Inferential Difficulties with Mixture Posterior Distributions
7. The EM algorithm for mixtures of factor analyzers
8. SCOP: a structural classification of proteins database
9. Exponential convergence of Langevin distributions and their discrete approximations
10. Probabilistic Inference Using Markov Chain Monte Carlo Methods

Their papers

• Multiple-step ahead prediction for non linear dynamic systems: A Gaussian Process treatment with propagation of the uncertainty (2003) — 83 citations