In this paper we develop a theory for the region-based synthesis of system models given as place/transition-nets with weighted inhibitor arcs (ptinets) from sets of scenarios descr...
In this work, we attempt to tackle domain-transfer problem by combining old-domain labeled examples with new-domain unlabeled ones. The basic idea is to use old-domain-trained cla...
Abstract. The current study is part of a larger project aiming at offering intuitive mappings of control parameters piloting synthesis models by semantic descriptions of sounds, i...
Abstract. In this paper, we propose a general model of schema matching based on the following ideas: on the one hand, a schema is viewed as a context (namely as a partial and appro...
We propose an algorithm to construct classification models with a mixture of kernels from labeled and unlabeled data. The derived classifier is a mixture of models, each based o...