In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
We adapt the cognitively-oriented morphology acquisition model proposed in (Chan 2008) to perform morphological analysis, extending its concept of base-derived relationships to all...
Constantine Lignos, Erwin Chan, Mitchell P. Marcus...
This paper compares six model checkers (Alloy, cadp, fdr2, NuSMV, ProB, Spin) for the validation of information system specifications. The same case study (a library system) is s...
We present a statistical model for canonicalizing named entity mentions into a table whose rows represent entities and whose columns are attributes (or parts of attributes). The m...
In many text classification applications, it is appealing to take every document as a string of characters rather than a bag of words. Previous research studies in this area mostl...