Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
Alireza Zarghami, Soude Fazeli, Nima Dokoohaki, Mi...
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
Balakrishnan Varadarajan, Dong Yu, Li Deng, Alex A...
Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
In this paper, we study the problem of recognizing an unknown probability density function from one of its sample which is of interest in signal and image processing or telecommun...
Guilhem Coq, X. Li, Olivier Alata, Y. Pousset, Chr...
—We study the problem of reliably provisioning traffic using multipath routing in a mesh network. Traditional approaches handled reliability requirements using full-protection s...
Ananya Das, Charles U. Martel, Biswanath Mukherjee