Anand Mohan
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it; #23,474 of 35,345 by trust here, #11,750 by citations
- Computer Vision and Pattern Recognition — 16 citations into it; #14,508 of 21,575 by trust here, #8,205 by citations
- Statistics and Probability — 6 citations into it
Whom Anand Mohan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Anand Mohan overall
Papers from Anand Mohan's perspective
Ordered by how strongly the researchers Anand Mohan trusts endorse each paper. Same corpus, a different order for every researcher.
- Bagging Predictors
- Random Forests
- Boosting Algorithms: Regularization, Prediction and Model Fitting. Rejoinder.
- The Nature of Statistical Learning Theory
- Boosting the margin: A new explanation for the effectiveness of voting methods
- UCI Repository of machine learning databases
- A decision-theoretic generalization of on-line learning and an application to boosting
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
Their papers
- Ensemble Learning (2019) — 2,525 citations