Benjamin Quost

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Quost trusts overall

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

  1. Sugato Basu
  2. Teuvo Kohonen
  3. Ian N. Davidson
  4. Mikhail Bilenko
  5. Kiri L. Wagstaff
  6. Raymond J. Mooney

Who trusts Benjamin Quost overall

  1. Yen-Chang Hsu

Papers from Benjamin Quost's perspective

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

  1. Distance Metric Learning with Application to Clustering with Side-Information
  2. Active Semi-Supervision for Pairwise Constrained Clustering (SDM)
  3. Semi-Supervised Learning
  4. Active Learning with Statistical Models
  5. Semi-supervised Clustering by Seeding (International Conference on Machine Learning)
  6. From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering (International Conference on Machine Learning)
  7. Constrained K-means Clustering with Background Knowledge (International Conference on Machine Learning)
  8. Clustering with Constraints: Feasibility Issues and the k-Means Algorithm (SDM)
  9. Self-Organizing Maps
  10. Integrating constraints and metric learning in semi-supervised clustering

Their papers