Background: Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring ...
At-speed testing of high-speed circuits is becoming increasingly difficult with external testers due to the growing gap between design and tester performance, growing cost of high...
— The results presented in this paper are a part of the second phase of a body of research with the goal of coevolving the mind and morphology of dynamic robots. We use a 3-Dimen...
Gary B. Parker, Dejan Duzevik, Andrey S. Anev, Ram...
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...