The Object Constraint Language (OCL) is part of the Unified Modeling Language (UML) to specify restrictions on values of a given UML model. As part of the UML 2.0 standardization ...
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
The nearest-neighbor method can successfully be applied to correct possible errors induced into bit strings transmitted over noisy communication channels or to classify samples in...
Reliability is a critical issue in many multi-organizational distributed applications, be they web services, financial protocols, scientific computing infrastructure, and software ...
Laura Bocchi, Kohei Honda, Emilio Tuosto, Nobuko Y...
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...