In this paper, a novel diagnosis method is proposed. The proposed technique uses machine learning techniques instead of traditional cause-effect and/or effect-cause analysis. The ...
—Processors that deploy fine-grained reconfigurable fabrics to implement application-specific accelerators ondemand obtained significant attention within the last decade. They tr...
Bayesian Networks, BNs, are suitable for mixed-initiative dialog modeling allowing a more flexible and natural spoken interaction. This solution can be applied to identify the in...
Software entropy is a phenomenon where repeated changes gradually degrade the structure of the system, making it hard to understand and maintain. This phenomenon imposes challenge...
Reinforcement learning algorithms that use eligibility traces, such as Sarsa(λ), have been empirically shown to be effective in learning good estimated-state-based policies in pa...