Recently, discriminative training (DT) methods have achieved tremendous progress in automatic speech recognition (ASR). In this survey article, all mainstream DT methods in speech...
Context-sensitive Multiple Task Learning, or csMTL, is presented as a method of inductive transfer that uses a single output neural network and additional contextual inputs for le...
Decision trees have proved to be valuable tools for the description, classi cation and generalizationof data. Work on constructingdecisiontrees from data exists in multiplediscipli...
: Context is the challenge for the coming years in Artificial Intelligence. In the companion paper [8], we present the main results of discussions at two workshops and at the first...
Traditional Computer-Aided Teaching and Learning (CAT/CAL) environments in multimedia-based teleeducation do not empower knowledge consumers (trainees, students etc.) to practice ...