We address the problem of learning topic hierarchies from data. The model selection problem in this domain is daunting—which of the large collection of possible trees to use? We...
David M. Blei, Thomas L. Griffiths, Michael I. Jor...
We investigate the application of hierarchical classification schemes to the annotation of gene function based on several characteristics of protein sequences including phylogenic ...
he abstract and simple computation and communication mechanism in the synchronous computational model it is easy to simulate synchronous systems and to apply formal verification m...
The high frequency of applications involving large, ordered, nested lists suggests that list is the "next most" natural data type after set. A list differs from a set th...
Variable order Markov models and variable order Bayesian trees have been proposed for the recognition of transcription factor binding sites, and it could be demonstrated that they...
Jan Grau, Irad E. Ben-Gal, Stefan Posch, Ivo Gross...