Background: With the completion of the Human Genome Project and recent advancements in mutation detection technologies, the volume of data available on genetic variations has rise...
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
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...
Enterprises in the public and private sectors have been making their large spatial data archives available over the Internet. However, interactive work with such large volumes of ...
The page migration problem is one of subproblems of data management in networks. It occurs in a distributed network of processors sharing one indivisible memory page of size D. Du...