We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...
Jangmin O, Jae Won Lee, Sung-Bae Park, Byoung-Tak ...
This paper describes a new research proposal of multi-document summarization of dynamic content in web pages. Much information is lost in the Web due to the temporal character of w...
Abstract. In this paper, we describe the framework created for implementing AI-based animations for artificial actors in the context of IVE (Intelligent Virtual Environments). The...
Miguel Lozano, Francisco Grimaldo, Fernando Barber
Modern processors perform dynamic scheduling to achieve better utilization of execution resources. A schedule created at run-time is often better than one created at compile-time ...
Francesco Spadini, Brian Fahs, Sanjay J. Patel, St...
Optimizing programs at run-time provides opportunities to apply aggressive optimizations to programs based on information that was not available at compile time. At run time, prog...