Bayesian networks, equivalently graphical Markov models determined by acyclic digraphs or ADGs (also called directed acyclic graphs or dags), have proved to be both effective and ...
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
MINING biological data is an emerging area of intersection between data mining and bioinformatics. Bio-informaticians have been working on the research and development of computat...
- In this paper, we are presenting a bionic approach towards real-time systems research. Observing that a cell is both real-time computing and real-time manufacturing system, the w...
Weuse a quantitative definition of specificity to developa neural networkfor the identification of commonprotein binding sites in a collection of unaligned DNAfragments. Wedemonst...