Recent NSF Awards in Proteomics and Protein Research
Title: Learning in Worst-Case Noise Models
Principal Investigator: Adam Klivans
Sponsor: University of Texas at Austin
Start/End Date: Sept. 1, 2011 – Aug 31, 2014
Amount Awarded to Date: $499,864
Funds a study to develop machine-learning algorithms that can succeed in the presence of noisy datasets, which could lead to more powerful classification tools for purposes such as protein identification and detection.