An autonomous variational inference algorithm for arbitrary graphical models requires the ability to optimize variational approximations over the space of model parameters as well...
We present a method for obtaining quantitative images from dual energy X-ray CT measurements. We adopt a statistical model for the data and reconstruct images by maximizing the lo...
Joseph A. O'Sullivan, Jasenka Benac, Jeffrey F. Wi...
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
V. Scott Gordon, Rebecca Pirie, Adam Wachter, Scot...
—Divisible load model allows scheduling algorithms that give nearly optimal makespan with practical computational complexity. Beaumont et al. have shown that their algorithm prod...