Abstract: In service oriented computing paradigm (SOC), services can be composed dynamically to fulfill complex needs. In the literature, the problem of ...

To ensure a correct choreography, we can not fix in advance the number of involved instances and we need to define a novel instance-aware composition approach.

The aim is to enable automatic service composition through a choreography where the service instances are defined dynamically. An approach for multiple-instance ...

Imen Graja, Nawal Guermouche, Ahmed Hadj Kacem, Khalil Drira: An Approach for Multiple-Instance Based Service Composition. SCC 2015: 435-442.

Mar 22, 2023 · The paper models the service composition in a multicloud environment. Based on those models, we use the GA (genetic algorithm) algorithm (GA-C) to solve the ...

This paper aims towards a novel integrated approach that first, successfully retrieves candidate sets for each corresponding subtask via implementing five ...

May 18, 2021 · Multiple Instance Learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided ...

Oct 22, 2024 · MILKDE: A new approach for multiple instance learning based on positive instance selection and kernel density estimation. Article. Mar 2017 ...

As with supervised learning, the training procedure for MIL will require two basic ingredients: a cost function (e.g. 0/1 loss, likelihood), and a method of ...

In the Multiple Instance Learning (MIL) task we learn a classifier based on a training set of bags, where each bag contains multiple feature vectors (called ...