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KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 4 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...
SAC
2009
ACM
15 years 11 months ago
DARAW: a new write buffer to improve parallel I/O energy-efficiency
In the past decades, parallel I/O systems have been used widely to support scientific and commercial applications. New data centers today employ huge quantities of I/O systems, wh...
Xiaojun Ruan, Adam Manzanares, Kiranmai Bellam, Xi...
PE
2008
Springer
143views Optimization» more  PE 2008»
15 years 4 months ago
Improving the performance of large interconnection networks using congestion-control mechanisms
As the size of parallel computers increases, as well as the number of sources per router node, congestion inside the interconnection network rises significantly. In such systems, ...
José Miguel-Alonso, Cruz Izu, José-&...
BMCBI
2010
243views more  BMCBI 2010»
15 years 4 months ago
Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
Background: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new ...
Christoph Bartenhagen, Hans-Ulrich Klein, Christia...
ROBOCUP
2004
Springer
85views Robotics» more  ROBOCUP 2004»
15 years 9 months ago
Optimizing Precision of Self-Localization in the Simulated Robotics Soccer
We show that all published visual data processing methods for the simulated robotic soccer so far were not utilizing all available information, because they were mainly based on he...
Vadim Kyrylov, David Brokenshire, Eddie Hou