We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...
Abstract— High-dimensional problems arising from complex robotic systems test the limits of current motion planners and require the development of efficient distributed motion p...
In this paper, a systematic study of the effects of complexity of prediction methodology on its accuracy for a set of real applications on a variety of HPC systems is performed. R...
Laura Carrington, Michael Laurenzano, Allan Snavel...
We present a new approach to representing coalitional games based on rules that describe the marginal contributions of the agents. This representation scheme captures characterist...
Abstract. Exploration algorithms are relevant to the industrial practice of gentest cases from an abstract state machine whose runs define the predicted behavior of the software s...