An increasing number of distributed applications are being constructed by composing them out of existing applications. The resulting applications can be very complex in structure,...
Background: Features of a DNA sequence can be found by compressing the sequence under a suitable model; good compression implies low information content. Good DNA compression mode...
Trevor I. Dix, David R. Powell, Lloyd Allison, Jul...
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
Genome-wide microarray designs containing millions to hundreds of millions of probes are available for a variety of mammals, including mouse and human. These genome tiling arrays ...
Many environments in which humans wayfind can be conveniently abstracted as networks or graphs: structures of nodes that are interconnected by edges. Examples include the street ne...