It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
The Compact Directed Acyclic Word Graph (CDAWG) is a space efficient data structure that supports indices of a string. The Symmetric Directed Acyclic Word Graph (SCDAWG) for a st...
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Abstract—Change coupling is the implicit relationship between two or more software artifacts that have been observed to frequently change together during the evolution of a softw...
This paper describes opportunities for automatically modernizing Erlang applications, cleaning them up, eliminating certain bad smells from their code and occasionally also improv...