Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
In situations where one needs to make a sequence of decisions, it is often believed that looking ahead will help produce better decisions. However, it was shown 30 years ago that ...
Dana S. Nau, Mitja Lustrek, Austin Parker, Ivan Br...
Online creative collaboration (peer production) has enabled the creation of Wikipedia and open source software (OSS), and is rapidly expanding to encompass new domains, such as vi...
Kurt Luther, Kelly E. Caine, Kevin Ziegler, Amy Br...
Describing the collective activity of neural populations is a daunting task: the number of possible patterns grows exponentially with the number of cells, resulting in practically...
Andrea K. Barreiro, Julijana Gjorgjieva, Fred Riek...
In this paper we present a prediction process of the Stock Exchange of Thailand index using adaptive evolution strategies. The prediction process does not require the knowledge of...