Random forests are one of the most popular machine learning methods due to their accuracy and variable importance assessment. However, random only provide in a global sense. There is an increasing need for such assessments at local level, motivated by applications personalized medicine, policy-making, bioinformatics. We propose new nonparametric estimator that pairs flexible forest kernel with ...

This paper describes the systems and results of the team KSU for RITE-VAL task in NTCIR-11. Three different systems were implemented for each of the two subtasks: Fact Validation and System Validation. In Fact Validation subtask, systems were designed respectively based on character overlap, existence of entailment result ’Y’, and voting of entailment results. In System Validation subtask, syst...