We present a large-margin formulation and algorithm for structured output prediction that allows the use of latent variables. Our proposal covers a large range of application prob...
The present paper investigates the influence of the execution history on the precision of measurementbased execution time estimates for embedded software. A new approach to timing...
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
A wide variety of stability and performance questions about linear dynamical systems can be reformulated as convex optimization problems involving linear matrix inequalities (LMIs...
Erin M. Aylward, Pablo A. Parrilo, Jean-Jacques E....
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...