Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
The ad-hoc use of unions to encode disjoint sum types in C programs and the inability of C’s type system to check the safe use of these unions is a long standing source of subtle...
Accurately recognizing users’ affective states could contribute to more productive and enjoyable interactions, particularly for task-oriented learning environments. In addition t...
A large volume of geospatial data is available on the web through various forms of applications. However, access to these data is limited by certain types of queries due to restric...
Wan D. Bae, Shayma Alkobaisi, Seon Ho Kim, Sada Na...
Next-generation mobile terminals are expected to provide users with seamless, uninterrupted network connectivity while moving across wide geographic locations. Achieving continuou...