Ruben Stranders

Computer Networks and Communications · 2009

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruben Stranders trusts overall

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

  1. David John Cameron MacKay
  2. Yair Weiss
  3. Andreas Krause
  4. Adrian Petcu
  5. Srinivas M. Aji

Papers from Ruben Stranders's perspective

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

  1. Information Theory, Inference, and Learning Algorithms
  2. Correctness of Local Probability Propagation in Graphical Models with Loops (Neural Computation)
  3. Constructing free-energy approximations and generalized belief propagation algorithms
  4. The generalized distributive law (IEEE Transactions on Information Theory)
  5. Approximating discrete probability distributions with dependence trees
  6. Correctness of Belief Propagation in Gaussian Graphical Models of Arbitrary Topology
  7. Solving distributed constraint optimization problems using cooperative mediation (Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004.)
  8. Adopt: asynchronous distributed constraint optimization with quality guarantees (Artificial Intelligence)
  9. On the optimality of solutions of the max-product belief-propagation algorithm in arbitrary graphs (IEEE Transactions on Information Theory)
  10. Towards Real-Time Information Processing of Sensor Network Data Using Computationally Efficient Multi-output Gaussian Processes

Their papers