This paper presents an autonomous algorithm for discovering exception rules from data sets. An exception rule, which is defined as a deviational pattern to a well-known fact, exhi...
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
When building an application that requires object class recognition, having enough data to learn from is critical for good performance, and can easily determine the success or fai...
Accurate and complete requirements specifications are crucial for the design and implementation of high-quality software. Unfortunately, the articulation and verification of softw...
Ken Abernethy, John C. Kelly, Ann E. Kelley Sobel,...