Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
Most verification tools and methodologies such as model checking, equivalence checking, hardware verification, software verification, and hardware-software coverification often fl...
We propose a procedure for automated implicit inductive theorem proving for equational specifications made of rewrite rules with conditions and constraints. The constraints are int...