Modeling long-term dependencies in time series has proved very difficult to achieve with traditional machine learning methods. This problem occurs when considering music data. In ...
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
Bayesian classifiers such as Naive Bayes or Tree Augmented Naive Bayes (TAN) have shown excellent performance given their simplicity and heavy underlying independence assumptions....
We test the hypothesis that cell membranes in early seaurchin embryos can be modeled as a Voronoi diagram from nuclei centers. In order to obtain a model of the cell geometry agai...
We give an algorithm to model any given multiple stuck-at fault as a single stuck-at fault. The procedure requires insertion of at most ? ? ? modeling gates, when the multiplicity...
Yong Chang Kim, Vishwani D. Agrawal, Kewal K. Salu...