The lack of high-level design tools hampers the widespread adoption of adaptive computing systems. Application developers have to master a wide range of functions, from the high-le...
Kiran Bondalapati, Pedro C. Diniz, Phillip Duncan,...
Abstract. In this paper, we present self-avoiding walks as a novel technique to linearize" a triangular mesh. Unlike space- lling curves which are based on a geometric embeddi...
We propose a model-based learning algorithm, the Adaptive Aggregation Algorithm (AAA), that aims to solve the online, continuous state space reinforcement learning problem in a de...
In this paper, we focus on the adaptation problem that has a large labeled data in the source domain and a large but unlabeled data in the target domain. Our aim is to learn relia...
Abstract: Engineering personalized ubiquitous Web applications requires to develop adaptable Web content as well as to automatically adjust it to varying client devices and dynamic...