We consider the exploration/exploitation problem in reinforcement learning (RL). The Bayesian approach to model-based RL offers an elegant solution to this problem, by considering...
We propose a simple, novel and yet effective method for building and testing decision trees that minimizes the sum of the misclassification and test costs. More specifically, we f...
Charles X. Ling, Qiang Yang, Jianning Wang, Shicha...
Machine learning research has been very successful at producing powerful, broadlyapplicable classification learners. However, many practical learning problems do not fit the class...
Developers frequently integrate complex COTS frameworks and components in software applications. COTS products are often only partially documented, and developers may misuse techn...
This paper shows how software engineering technologies used to define and analyze complex software systems can also be effective in detecting defects in human-intensive processes ...
Bin Chen, George S. Avrunin, Elizabeth A. Henneman...