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» Hierarchical exploration of large multivariate data sets
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EMNLP
2008
15 years 1 months ago
Online Large-Margin Training of Syntactic and Structural Translation Features
Minimum-error-rate training (MERT) is a bottleneck for current development in statistical machine translation because it is limited in the number of weights it can reliably optimi...
David Chiang, Yuval Marton, Philip Resnik
EDBT
2004
ACM
141views Database» more  EDBT 2004»
16 years 15 days ago
HEAVEN: A Hierarchical Storage and Archive Environment for Multidimensional Array Database Management Systems
Abstract. The intention of this paper is to present HEAVEN, a solution of intelligent management of large-scale datasets held on tertiary storage systems. We introduce the common s...
Bernd Reiner, Karl Hahn
119
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EDBT
2012
ACM
271views Database» more  EDBT 2012»
13 years 2 months ago
Towards a decentralised hierarchical architecture for smart grids
We present a hierarchical distributed communication and control architecture for Smart Grids. The proposed topology consists of multiple layers to allow for robust and flexible d...
Daniel Rech, Andreas Harth
PVLDB
2008
205views more  PVLDB 2008»
14 years 12 months ago
Making SENSE: socially enhanced search and exploration
Online communities like Flickr, del.icio.us and YouTube have established themselves as very popular and powerful services for publishing and searching contents, but also for ident...
Tom Crecelius, Mouna Kacimi, Sebastian Michel, Tho...
NIPS
2007
15 years 1 months ago
Random Features for Large-Scale Kernel Machines
To accelerate the training of kernel machines, we propose to map the input data to a randomized low-dimensional feature space and then apply existing fast linear methods. The feat...
Ali Rahimi, Benjamin Recht