In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
Prediction of fault prone software components is one of the most researched problems in software engineering. Many statistical techniques have been proposed but there is no consen...
Given the major advantages of productivity and safety, the use of garbage collection (GC) in real-time systems has gained increasing attention. Guaranteeing garbage collection act...
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...