Indexed Learning: Protagoras’s Computer

Indexed Learning: Protagoras’s Computer

Information technology and communication in education have transformed the traditional school in digital classrooms. The adaptability of technological tools as teaching-learning resources facilitates the rationalization of educational work. Operate with a network computer, through digital information flows, allows us to opening choices for preparing and presenting educational contents. The prac...

Prescribed Learning of Indexed Families

This work extends studies of Angluin, Lange and Zeugmann on how learnability of a language class depends on the hypothesis space used by the learner. While previous studies mainly focused on the case where the learner chooses a particular hypothesis space, the goal of this work is to investigate the case where the learner has to cope with all possible hypothesis spaces. In that sense, the prese...

Indexed Learning for Large-Scale Linear Classification

Linear classification has achieved complexity linear to the data size. However, in many applications, large-scale data contains only a few samples that can improve the target objective. In this paper, we propose a sublinear-time algorithm that uses Nearest-Neighbor-based Coordinate Descent method to solve Linear SVM with truncated loss. In particular, we propose a sequential relaxation that sol...

Teaching approaches to Computer Assisted Language Learning

Computers have been used for language teaching ever since the 1960's.Learning a second language is a challenging endeavor, and, for decades now, proponents of computer assisted language learning (CALL) have declared that help is on the horison. We investigate the suitability of deploying speech technology in computer based systems that can be used to teach foreign language skills. In this case,...

Reeective Language Learning of Indexed Families