A Simple Probabilistic Approach to Learning from Positive and Unlabeled Examples Dell Zhang (BBK) and Wee Sun Lee (NUS)
Zhang Q - A probabilistic approach to k-mer counting
Probability density estimation using Product of Conditional Experts
Arcomem training Topic Analysis Models advanced
Arcomem training Topic Analysis Models beginners
. An introduction to machine learning and probabilistic ...
PhD Dissertation Spackova 2012
R. Paneerselvam.pdf
Eurecom, Sophia-Antipolis Thrasyvoulos Spyropoulos / [email protected] Random Graph Models: Create/Explain Complex Network Properties.
Current Research Interests Complex models of innovation on rugged technology landscapes Endogenous evolutionary models of economic growth, and comparison.
Taming the Underlying Challenges of Reliable Multihop Routing in Sensor Networks.
Engineering Economics by R Panneer Selvam
