We achieved a state of the art performance in statistical machine translation by using a large number of features with an online large-margin training algorithm. The millions of p...
Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki ...
This paper provides support for the use of motivational needs in identifying mobile phone uses and related features. Drawing on motivational human and usage space research, the fin...
This paper presents the rudiments of a theory of schema design for databases containing high dimensional features of the type used for describing multimedia data. We introduce a mo...
In this paper, we propose a novel class of graphs, the tripartite directed acyclic graphs (tDAGs), to model first-order rule feature spaces for sentence pair classification. We in...
We describe experiments with a Naive Bayes text classifier in the context of anti-spam E-mail filtering, using two different statistical event models: a multi-variate Bernoulli ...