Conference paper
TREC 2005 genomics track experiments at IBM watson
Rie Kubota Ando, Mark Dredze, et al.
TREC 2005
Gaussian processes have been widely applied to regression problems with good performance. However, they can be computationally expensive. In order to reduce the computational cost, there have been recent studies on using sparse approximations in gaussian processes. In this article, we investigate properties of certain sparse regression algorithms that approximately solve a gaussian process. We obtain approximation bounds and compare our results with related methods.
Rie Kubota Ando, Mark Dredze, et al.
TREC 2005
Hongyan Jing, Radu Florian, et al.
EMNLP 2003
Tong Zhang
NeurIPS 2003
Tong Zhang, Fred Damerau, et al.
CoNLL 2003