This paper investigates improvements of an online handwriting stroke-order analysis algorithm -- cube search, based on cube graph stroke-order generation model and dynamic program...
The research reported in this paper is concerned with assessing the usefulness of reinforcment learning (RL) for on-line calibration of parameters in evolutionary algorithms (EA). ...
A. E. Eiben, Mark Horvath, Wojtek Kowalczyk, Marti...
In this paper we extend the maximum spanning tree (MST) dependency parsing framework of McDonald et al. (2005c) to incorporate higher-order feature representations and allow depen...
Prediction is an important component in a variety of domains. Intelligent systems that can predict future events are better enabled to make more informed, and therefore more relia...
We present approximation and online algorithms for a number of problems of pricing items for sale so as to maximize seller’s revenue in an unlimited supply setting. Our first r...