The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
Sequence alignment visualization is an important tool for understanding genomics data. Current approaches have difficulty scaling to the larger data sets becoming available. In th...
Abstract-- We present a new algorithm for solving a polynomial program P based on the recent "joint + marginal" approach of the first author for parametric polynomial opt...
Choosing the right parameters for a word sense disambiguation task is critical to the success of the experiments. We explore this idea for prepositions, an often overlooked word c...
An approach is suggested for arguing that a system is dependable. The key idea is to structure the system so that critical requirements are localized in small, reliable subsets of ...