Ananth Mohan
Artificial Intelligence · 2010
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom Ananth Mohan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jerome H. Friedman
- Niko Speybroeck
- Olivier Chapelle
- C. Burges
- Kalervo Järvelin
- Ping Li
- Trevor J. Hastie
- Zhaohui Zheng
- Thorsten Joachims
- Leo Breiman
Who trusts Ananth Mohan overall
Papers from Ananth Mohan's perspective
Ordered by how strongly the researchers Ananth Mohan trusts endorse each paper. Same corpus, a different order for every researcher.
- Greedy function approximation: A gradient boosting machine.
- Optimizing search engines using clickthrough data
- Learning to rank using gradient descent
- Cumulated gain-based evaluation of IR techniques
- Random Forests
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Classification and regression trees
Their papers
- Web-Search Ranking with Initialized Gradient Boosted Regression Trees (2010) — 165 citations