Inter-business collaborative contexts prefigure a distributed scenario where companies organize and coordinate themselves to develop common and shared opportunities. Traditional b...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Parallel and distributed programming is conceptually harder to undertake and to understand than sequential programming, because a programmer often has to manage the coexistence an...
—Sensor networks represent a new frontier in technology that holds the promise of unprecedented levels of autonomy in the execution of complex dynamic missions by harnessing the ...
Object-oriented modeling and design is a way of solving problems using models based upon real-world concepts. In this paradigm, the fundamental construct is the object, an entity ...