M. Ghahramani
2014
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom M. Ghahramani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from M. Ghahramani's perspective
Ordered by how strongly the researchers M. Ghahramani trusts endorse each paper. Same corpus, a different order for every researcher.
- Information Theory and an Extension of the Maximum Likelihood Principle
- Soft Margins for AdaBoost
- Networks for approximation and learning
- An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods
- Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out Cross-Validation
- Expectation Propagation for approximate Bayesian inference
- Kernel Principal Component Analysis
- Applied Linear Regression (Technometrics)
- Learning to classify text using support vector machines - methods, theory and algorithms (The Kluwer International Series in Engineering and Computer Science)
- Bayesian Regularization and Pruning Using a Laplace Prior
Their papers
- The Information Criterion (2014) — 59 citations