We propose a method for sequential Bayesian kernel regression. As is the case for the popular Relevance Vector Machine (RVM) [10, 11], the method automatically identifies the num...
This paper develops Probabilistic Hybrid Action Models (PHAMs), a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans. PHA...
A neural model-based predictive control scheme is proposed for dealing with steady-state offsets found in standard MPC schemes. This structure is based on a constrained local inst...
This paper proposes a framework for easily integrating and controlling information visualization (infoVis) components within web pages to create powerful interactive "live&qu...
We present Active Spam Killer (ASK), a program that attempts to validate unknown senders before allowing delivery of their message. Validation occurs by means of a challenge reply...