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ACL
2008
13 years 10 months ago
Applying a Grammar-Based Language Model to a Simplified Broadcast-News Transcription Task
We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the proba...
Tobias Kaufmann, Beat Pfister
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 6 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
13 years 8 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
WSC
2007
13 years 10 months ago
Mathematical programming-based perturbation analysis for GI/G/1 queues
This paper addresses several issues of using the mathematical programming representations of discrete-event dynamic systems in perturbation analysis. In particular, linear program...
He Zhang, Wai Kin Chan
ISLPED
2009
ACM
110views Hardware» more  ISLPED 2009»
14 years 3 months ago
End-to-end validation of architectural power models
While researchers have invested substantial effort to build architectural power models, validating such models has proven difficult at best. In this paper, we examine the accurac...
Madhu Saravana Sibi Govindan, Stephen W. Keckler, ...