The problem of obtaining the maximum a posteriori (map) estimate of a discrete random field is of fundamental importance in many areas of Computer Science. In this work, we build ...
Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Much of what we know about how programmers refactor in the wild is based on studies that examine just a few software projects. Researchers have rarely taken the time to replicate ...
Emerson R. Murphy-Hill, Chris Parnin, Andrew P. Bl...
Quality assurance techniques for web applications have become increasingly important as web applications have gained in popularity and become an essential part of our daily lives....