CSCD Events: CSCD Presents Colloquium Series: Dr. Saeid Amiri (University of Nebraska)
What? The CSCD Colloquium Series, co-sponsored by the UMSN Fogarty International Training Program for Strengthening Non-Communicable Disease Research and Training Capacity in Thailand
Presenter Dr. Saeid Amiri (University of Nebraska)
Topic Dr. Amiri is an expert on machine learning, clustering methods and statistical genetics. Working with CSCD investigators, Dr. Amiri is developing a new foundation for modeling, analysis and interpretation of complex, high-dimensional and incongruent Big Data.
Where Palmer Commons, Great Lakes Room North
Date Tuesday, April 21, 2015
When 4:00-5:00 PM
Abstract Extraction of valuable information from Big data (n>>p) in high dimensions (p>>n) and the subsequent scientific inference using such derived information present considerable challenges in many medical, biological, social and data-driven sciences. In this talk, I will present statistical learning and unsupervised machine learning techniques for the low dimension data and discuss a new sub-space alternative approach. We will illustrate an extension method for higher-dimensions and big data based on random subspaces. We provide a series of arguments to justify the new technique and will provide examples involving real and simulated data to compare our method with other related techniques.
See also Dr. S. Ejaz Ahmed's talk on 4/24/15 part of the micro Big Data Analytics workshop.