In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...
In this paper, the problem about power control in multiuser cognitive networks is addressed. The scenario we study is a heterogeneous network, where multiple cognitive (without the...
An important performance measure in wireless networks is the manner in which the network can distributively manage its limited energy and spectrum resources, while assuring certain...
Variants of the decentralized MDP model focus on problems exhibiting some special structure that makes them easier to solve in practice. Our work is concerned with two main issues...