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 ...
In: Proceedings of the Eleventh International Conference on Cooperative Information Systems (CoopIS-03), pp. 93–109, Springer-Verlag LNCS Series. c 2003 by Springer-Verlag. We a...
In this paper we present the Relational Bayesian Classifier (RBC), a modification of the Simple Bayesian Classifier (SBC) for relational data. There exist several Bayesian classif...
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
The great amount of information that a user handles in their typical transactions on the Internet –identifiers, addresses, credit card numbers, among others-, makes it necessary...