A framework is set up in which linear regression, as a way of approximating a random variable by other random variables, can be carried out in a variety of ways, which moreover ca...
R. Tyrrell Rockafellar, Stan Uryasev, Michael Zaba...
Virtual avatars in many applications are constructed manually or by a single speech-driven model which needs a lot of training data and long training time. It’s an essential pro...
: In this paper, we present a novel method for fast data-driven construction of regression trees from temporal datasets including continuous data streams. The proposed Mean Output ...
A novel technique is presented to construct sparse regression models based on the orthogonal least square method with boosting. This technique tunes the mean vector and diagonal c...
Recent years have seen a proliferation of 3-valued or capturing abstractions of systems, since these enable verifying both universal and existential properties. Reasoning about suc...