Luca Di Gaspero
2014
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from Luca Di Gaspero's perspective
Ordered by how strongly the researchers Luca Di Gaspero trusts endorse each paper. Same corpus, a different order for every researcher.
- Random Forests
- Controlling the false discovery rate: a practical and powerful approach to multiple testing
- Optimization by Simulated Annealing
- Programming by optimization
- F-Race and Iterated F-Race: An Overview (Experimental Methods for the Analysis of Optimization Algorithms)
- No free lunch theorems for optimization
- Classification and Regression by randomForest
- Experimental Methods for the Analysis of Optimization Algorithms
- Quantile Regression
- Monte Carlo Methods