Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...
Complex design, targeting System-on-Chip based on reconfigurable architectures, still lacks a generalized methodology allowing both the automatic derivation of a complete system s...
Carlo Curino, Luca Fossati, Vincenzo Rana, Frances...
When human-multiagent teams act in real-time uncertain domains, adjustable autonomy (dynamic transferring of decisions between human and agents) raises three key challenges. First...
We present a logic for reasoning about properties of agent programs under different agent execution strategies. Using the agent programming language SimpleAPL as an example, we sh...
Natasha Alechina, Brian Logan, Mehdi Dastani, John...
Anisotropic meshes are triangulations of a given domain in the plane or in higher dimensions, with elements elongated along prescribed directions. Anisotropic triangulations have ...