We present a state of the art read-only distributed shared memory (DSM) ray tracer capable of fully utilizing modern cluster hardware to render massive out-of-core polygonal model...
We use a new general-purpose model of neutral evolution of genotypes to make quantitative comparisons of diversity and adaptive evolutionary activity as a function of mutation rate...
We propose a Markov process model for spike-frequency adapting neural ensembles which synthesizes existing mean-adaptation approaches, population density methods, and inhomogeneou...
Eilif Mueller, Lars Buesing, Johannes Schemmel, Ka...
Abstract. In this paper, we present AthenaQTI, a tool for authoring personalized assessments, which gives the author significant flexibility in terms of the adaptation that s/he ca...
Model based compensation schemes are a powerful approach for noise robust speech recognition. Recently there have been a number of investigations into adaptive training, and estim...