Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
We present data-driven methods for supporting musical creativity by capturing the statistics of a musical database. Specifically, we introduce a system that supports users in expl...
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
We present the XDI Model for specifying delay-insensitive circuits, that is, reactive systems that correctly exchange signals with their environment in spite of unknown delays inc...