Caroline Taylor

Artificial Intelligence · 2013

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 Caroline Taylor trusts overall

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

  1. Mikhail Belkin
  2. Thorsten Joachims
  3. Stefano Melacci
  4. Vikas Sindhwani
  5. Lawrence K. Saul
  6. Partha Niyogi

Who trusts Caroline Taylor overall

  1. Zhengping Che

Papers from Caroline Taylor's perspective

Ordered by how strongly the researchers Caroline Taylor 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. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Semi-Supervised Classification by Low Density Separation
  10. Spectral Methods for Dimensionality Reduction (Semi-Supervised Learning)

Their papers