To explain complex phenomena, an explanation system must be able to select information from a formal representation of domain knowledge, organize the selected information into mul...
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
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...
Abstract. The simulation of large-scale inter-domain networks is useful for various aspects of network planning and management. It is also a challenge due to its scalability proble...
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...