Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
This paper describes a new scoring algorithm that supports comparison of linguistically annotated data from noisy sources. The new algorithm generalizes the Message Understanding ...
John D. Burger, David D. Palmer, Lynette Hirschman
Information about a software system's execution can help a developer with many tasks, including software testing, performance tuning, and program understanding. In almost all...
Robert J. Walker, Gail C. Murphy, Jeffrey Steinbok...
The concept of context-dependent access control has emerged during the last years: Information about the state of a process model of a working environment is combined with general ...
IT infrastructures coupled with BPR initiatives have the potential of supporting and enabling new organizational forms and helping firms face the challenges of globalization. The ...