While known algorithms for sensitivity analysis and parameter tuning in probabilistic networks have a running time that is exponential in the size of the network, the exact comput...
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
Emma Brunskill, Bethany R. Leffler, Lihong Li, Mic...
As processing power becomes cheaper and more available in cluster of computers, the need for parallel algorithm that can harness this computing potentials will increase. One applic...
Jalal A. Nasiri, M. Amir Moulavi, Sepideh Nazemi G...
Testing cannot cover all execution schedules in concurrent software. Model checking, however, is capable of verifying the outcome of all possible executions. It has been applied s...
The selective application of technological and related procedural safeguards is an important responsibility of every organization in providing adequate security to its electronic ...
Md. Nazrul Islam, Md. Monir Hossain Mia, Muhammad ...
This paper presents a single project experiment on the fault revealing capabilities of model-based test sets. The tests are generated from UML statecharts and UML sequence diagram...
Supaporn Kansomkeat, Jeff Offutt, Aynur Abdurazik,...
For software executing several threads in parallel, testing is unreliable, as it cannot cover all thread schedules. Model checking, however, can cover all possible thread interlea...