We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
Andreas Argyriou, Charles A. Micchelli, Massimilia...
We consider the problem of name-independent routing in doubling metrics. A doubling metric is a metric space whose doubling dimension is a constant, where the doubling dimension o...
Abstract. Known compact e-cash schemes are constructed from signature schemes with efficient protocols and verifiable random functions. In this paper, we introduce a different ap...
The memory intensive nature of object-oriented languages such as C++ and Java has created the need of a high-performance dynamic memory management (DMM); however, it is a challeng...
Linear models have enjoyed great success in structured prediction in NLP. While a lot of progress has been made on efficient training with several loss functions, the problem of ...