Abstract. Principal component analysis (PCA) is a widely used technique for data analysis and dimensionality reduction. Eigenvalue decomposition is the standard algorithm for solvi...
In this paper we introduce PRIMA: A PRecise vIsual language for Modeling with Agents, in a physical environment. Our objective is to design an expressive Domain Specific Visual La...
Rare category detection is an open challenge for active learning, especially in the de-novo case (no labeled examples), but of significant practical importance for data mining - ...
Semantic web services achieve effects in the world through web services, so the connection to those services--the grounding--is of paramount importance. The established technique i...
The paper reports the University of Waterloo participation in the opinion and polarity tasks of the Blog track. The proposed method uses a lexicon built from several linguistic re...