Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
—Inspired by the contours in topography, this paper proposes a contour method for the population-based stochastic algorithms to solve the problems with continuous variables. Rely...
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
∗ In this paper, we propose a transport control performance improvement algorithm in heterogeneous networks. This paper discusses some novel algorithms to estimate the available...
Abstract- This paper proposes a hardwadsoftware cosynthesis algorithm for processors with heterogeneous registers. Given a CDFG correspondingto an application program and a timing ...