Voronezh (Russia) (17) ->
Louisville, KY (4) ->
CMU (1) -> Bell Labs (.9) -> CMU
Efficient Analysis of Large Datasets (aka Data Mining)
Currently working on learning associations from large sparse matrices
Empirical Bayes Screening for Link Analysis
An algorithm for discovering top N strange co-occurences of size 2,3,4, etc Uses ideas of frequent sets, but stratifies them according to a statistically justified hierarchical bayes model, using empirical bayes to find the parameters
A Comparison of Statistical and Machine Learning Algorithms on the Task of Link Completion
This paper examines the task of link completion, relative algorithm performance, and what this can tell us about the structure of the data.
Screen-based Bayes Net Structure search. A computationally efficient algorithm that performs Bayes Net structural learning from a very large binary dataset.