Thomas Gaertner
2003
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Whom Thomas Gaertner trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Thomas Gaertner overall
- Pinar Yanardag
- Christopher Morris
- Nils M. Kriege
- S. V. N. Vishwanathan
- Pinar Yanardag
- Nino Shervashidze
- Xiaojun Xu
- Karsten M. Borgwardt
- Kristian Kersting
Papers from Thomas Gaertner's perspective
Ordered by how strongly the researchers Thomas Gaertner trusts endorse each paper. Same corpus, a different order for every researcher.
- A training algorithm for optimal margin classifiers
- Learning with Kernels: support vector machines, regularization, optimization, and beyond
- Text Classification using String Kernels
- Text Classification using String Kernels (Neural Information Processing Systems)
- Convolution Kernels for Natural Language (Neural Information Processing Systems)
- On Graph Kernels: Hardness Results and Efficient Alternatives
- ImageNet classification with deep convolutional neural networks
- Product Graphs: Structure and Recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Expressivity versus efficiency of graph kernels (2003) — 253 citations