Vitor Sessak

Probabilistic & Bayesian Methods · 2008–2011

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 5 citations into it

Whom Vitor Sessak trusts overall

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

1. David John Cameron MacKay

Who trusts Vitor Sessak overall

1. H. C. Nguyen
2. Magnus Ekeberg
3. Riccardo Zecchina
4. Tuomo Hartonen
5. Johannes Berg
6. Erik Aurell

Papers from Vitor Sessak's perspective

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

1. Information Theory, Inference, and Learning Algorithms
2. Modeling brain function: the world of attractor neural networks, 1st Edition
3. Principal Component Analysis
4. Spectral Analysis of Large Dimensional Random Matrices
5. Learning and relearning in Boltzmann machines
6. A Learning Algorithm for Boltzmann Machines
7. The Nature of Statistical Learning Theory
8. Generalized Belief Propagation
9. Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
10. Human behavior and the principle of least effort

Their papers

• High-dimensional inference with the generalized Hopfield model: principal component analysis and corrections. (2011) — 33 citations
• Small-correlation expansions for the inverse Ising problem (2008) — 47 citations