Background: Biological knowledge is represented in scientific literature that often describes the function of genes/ proteins (bioentities) in terms of their interactions (biointe...
Adriano Barbosa-Silva, Theodoros G. Soldatos, Ivan...
We present an adaptation technique for statistical machine translation, which applies the well-known Bayesian learning paradigm for adapting the model parameters. Since state-of-t...
This paper describes a self-modelling, incremental algorithm for learning translation rules from existing bilingual corpora. The notions of supracontext and subcontext are extende...
Abstract. The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network....
Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin...
Emotions have a functional relevance to learning and achievement. Not surprisingly then, affective diagnoses are an important aspect of expert human mentoring. Computerbased learni...