Cynthia Brandt

Artificial Intelligence · 2005–2013

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cynthia Brandt trusts overall

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

  1. Mikhail Belkin
  2. Thorsten Joachims
  3. Stefano Melacci
  4. Vikas Sindhwani

Papers from Cynthia Brandt's perspective

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

  1. Transductive Inference for Text Classification using Support Vector Machines
  2. Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions
  3. Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
  4. Transductive Learning via Spectral Graph Partitioning
  5. Regularization and Semi-supervised Learning on Large Graphs (Annual Conference Computational Learning Theory)
  6. Semi-Supervised Classification by Low Density Separation
  7. Spectral Methods for Dimensionality Reduction (Semi-Supervised Learning)
  8. Beyond the point cloud: from transductive to semi-supervised learning (International Conference on Machine Learning)
  9. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
  10. Laplacian Support Vector Machines Trained in the Primal (Journal of machine learning research)

Their papers