We consider sequential regression of individual sequences under the square error loss. Using a competitive algorithm framework, we construct a sequential algorithm that can achieve...
Background: In order to maintain the most comprehensive structural annotation databases we must carry out regular updates for each proteome using the latest profile-profile fold r...
Liam J. McGuffin, Richard T. Smith, Kevin Bryson, ...
We study adaptive routing algorithms in a round-based model. Suppose we are given a network equipped with load-dependent latency functions on the edges and a set of commodities eac...
A goal of statistical language modeling is to learn the joint probability function of sequences of words in a language. This is intrinsically difficult because of the curse of dim...
A high-radix composite algorithm for the computation of the powering function (¤¦¥ ) is presented in this paper. The algorithm consists of a sequence of overlapped operations: ...