Autoscaling strategies achieve efficient and cheap executions of scientific workflows running in the cloud by determining appropriate type and amount of virtual machine instances to use while scheduling the tasks/data . ...

The Haskell module system aims for simplicity and has a notableadvantage of being easy to learn and use. However, type classinstances in Haskell are always exported and imported betweenmodules. This breaches uniformity and ...

The use of dynamic selection techniques, for attributes or members of an ensemble, has appeared in several works in the literature as a mechanism to increase the accuracy of rating ensembles. Individually, each of these ...

Multiple-instance (MI) learning aims at modeling problems that are better described by several instances of a given sample instead of individual descriptions often employed by standard machine learning approaches. In ...

Multiple-instance (MI) learning aims at modeling problems that are better described by several instances of a given sample instead of individual descriptions often employed by standard machine learning approaches. In ...

Introduction. The datasets used in observational studies have instances belonging to two distinct groups (i.e. treatment group and control group), which are compared in order to estimate the effect of the treatment over ...

Tradicionalmente, el análisis de instancias en video ha sifo aproximado por estrategias "botttom-up" donde la información de alto nivel específica a una instancia, es estimada a partir de información de bajo nivel exclusiva ...