We present a method for matching curves which accommodates large and small deformation. The method preserves geometric similarities in the case of small deformation, and loosens t...
Abstract. In this paper, we describe the features of the Timed Abstract State Machine toolset. The toolset implements the features of the Timed Abstract State Machine (TASM) langua...
In recent years, model-driven approaches and processes have1 established themselves as pragmatic and feasible solutions with tangible2 advantages. Transformations play a central ro...
Anthony Anjorin, Marius Paul Lauder, Michael Schle...
Different formal learning models address different aspects of learning. Below we compare learning via queries—interpreting learning as a one-shot process in which the learner i...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...