While much research has shown that ALNs can produce learning equivalent to FTF classrooms, there has been little empirical research that explicitly and rigorously explores similar...
In this paper we extend the PAC learning algorithm due to Clark and Thollard for learning distributions generated by PDFA to automata whose transitions may take varying time length...
In this paper, we propose a new analytical model for throughput evaluation of wireless network coding. This new approach is based on a probabilistic viewpoint on network coding, i....
Mohammad H. Amerimehr, Farid Ashtiani, Mohammad Ba...
We propose a new probabilistic approach to information retrieval based upon the ideas and methods of statistical machine translation. The central ingredient in this approach is a ...
Many advanced data management operations (e.g., incremental maintenance, trust assessment, debugging schema mappings, keyword search over databases, or query answering in probabil...
Grigoris Karvounarakis, Zachary G. Ives, Val Tanne...