We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
Service-based IT infrastructures serve many different business processes on a shared infrastructure in parallel. The automated request execution on the interconnected software com...
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...