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NIPS
1998
15 years 3 months ago
Using Analytic QP and Sparseness to Speed Training of Support Vector Machines
Training a Support Vector Machine (SVM) requires the solution of a very large quadratic programming (QP) problem. This paper proposes an algorithm for training SVMs: Sequential Mi...
John C. Platt
DAC
2003
ACM
16 years 3 months ago
Scalable modeling and optimization of mode transitions based on decoupled power management architecture
To save energy, many power management policies rely on issuing mode-change commands to the components of the system. Efforts to date have focused on how these policies interact wi...
Dexin Li, Qiang Xie, Pai H. Chou
111
Voted
ACL
2010
15 years 14 days ago
Unsupervised Search for the Optimal Segmentation for Statistical Machine Translation
We tackle the previously unaddressed problem of unsupervised determination of the optimal morphological segmentation for statistical machine translation (SMT) and propose a segmen...
Coskun Mermer, Ahmet Afsn Akn
TWC
2008
245views more  TWC 2008»
15 years 2 months ago
Cross-Layer Optimal Policies for Spatial Diversity Relaying in Mobile Ad Hoc Networks
In order to adapt to time-varying wireless channels, various channel-adaptive schemes have been proposed to exploit inherent spatial diversity in mobile/wireless ad hoc networks w...
Jing Ai, Alhussein A. Abouzeid, Zhenzhen Ye
ICASSP
2011
IEEE
14 years 6 months ago
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...
François Desbouvries, Yohan Petetin, Emmanu...