Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
I will elaborate some principles of ethical conduct in science that correspond to Richard Feynman’s wellknown precepts of “utter honesty” and “leaning over backwards” in...
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
This paper highlights some of the issues that have been reported in surveys carried out by the RIOJA (Repository Interface for Overlaid JournalArchives) project (http://www.ucl.ac...