We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...
Abstract-- Identification of output error models from frequency domain data generally results in a non-convex optimization problem. A well-known method to approach the output error...
A new method to decide the invertibility of a given high-dimensional function over a domain is presented. The problem arises in the field of verified solution of differential algeb...
The Domain Name System (DNS) is integral to today's Internet. Name resolution for a domain is often dependent on servers well outside the control of the domain's owner. I...
Casey T. Deccio, Chao-Chih Chen, Jeff Sedayao, Kri...
NCBI’s Conserved Domain Database (CDD) is a resource for the annotation of protein sequences with the location of conserved domain footprints, and functional sites inferred from...
Aron Marchler-Bauer, Shennan Lu, John B. Anderson,...