Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
We propose a top-down algorithm for extracting k-best lists from a parser. Our algorithm, TKA is a variant of the kbest A (KA) algorithm of Pauls and Klein (2009). In contrast to ...
Abstract-- This paper presents a fast and reliable globalsearch approach to the problem of virtual camera positioning when multiple objects that need to be within the reach of the ...
In Voice-over-IP, buffer delay and packet loss are two main factors effecting perceived conversational quality. A quality-based algorithm aims to seek an optimum balancing of dela...
We consider a number of dynamic problems with no known poly-logarithmic upper bounds, and show that they require n(1) time per operation, unless 3SUM has strongly subquadratic alg...