Methods that learn from prior information about input features such as generalized expectation (GE) have been used to train accurate models with very little effort. In this paper,...
Abstract. The label switching problem, the unidentifiability of the permutation of clusters or more generally latent variables, makes interpretation of results computed with MCMC ...
Abstract. We propose a novel method for addressing the model selection problem in the context of kernel methods. In contrast to existing methods which rely on hold-out testing or t...
We consider a generalization of the shortest-path problem: given an alphabet , a graph G whose edges are weighted and -labeled, and a regular language L , the L-constrained shortes...
Christopher L. Barrett, Keith R. Bisset, Martin Ho...
Action Labelled transition systems (LTS) have proved to be a fundamental model for describing and proving properties of concurrent systems. In this paper,Multiple Labelled Transit...