We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Lack of time and capital for software testing is an oft encountered problem in most organizations. The plethora of possible test cases for each software component makes software t...
Sunitha Ramanujam, Hany F. El Yamany, Miriam A. M....
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Good project scheduling is an essential, but extremely hard task in software management practice. In a software project, the time needed to complete some development activity is d...