Almost all successful machine learning algorithms and cognitive models require powerful representations capturing the features that are relevant to a particular problem. We draw o...
We present a generative model for performing sparse probabilistic projections, which includes sparse principal component analysis and sparse canonical correlation analysis as spec...
- The rising popularity of Mobile Computing creates new methods for accessing Web content. At the same time Really Simple Syndication (RSS) feed is another new trend of constantly ...
Andrew Dutt, Sarah White, Zornitza Genova Prodanof...
: Model Driven Software Development (MDSD) has matured over the last few years and is now becoming an established technology. One advantage that is promoted by the MDSD community i...
Traditional noun phrase coreference resolution systems represent features only of pairs of noun phrases. In this paper, we propose a machine learning method that enables features ...