The power iteration is a classical method for computing the eigenvector associated with the largest eigenvalue of a matrix. The subspace iteration is an extension of the power iter...
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
By modeling dynamic join points, pointcuts, and advice in a defunctionalized continuation-passing style interpreter, we provide a fundamental account of these AOP mechanisms. Dyna...
Many probabilistic models for natural language are now written in terms of hierarchical tree structure. Tree-based modeling still lacks many of the standard tools taken for grante...
We propose an apparently minor extension to Kay's (1985} notation for describing directed acyclic graphs (DAGs}. The proposed notation permits concise descriptions of phenome...