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TNN
2008
138views more  TNN 2008»
15 years 6 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
PVLDB
2010
139views more  PVLDB 2010»
15 years 4 months ago
Aether: A Scalable Approach to Logging
The shift to multi-core hardware brings new challenges to database systems, as the software parallelism determines performance. Even though database systems traditionally accommod...
Ryan Johnson, Ippokratis Pandis, Radu Stoica, Mano...
KDD
2012
ACM
235views Data Mining» more  KDD 2012»
13 years 9 months ago
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data
Outlier mining in d-dimensional point sets is a fundamental and well studied data mining task due to its variety of applications. Most such applications arise in high-dimensional ...
Ninh Pham, Rasmus Pagh
HPCA
2003
IEEE
16 years 6 months ago
Exploring the VLSI Scalability of Stream Processors
Stream processors are high-performance programmable processors optimized to run media applications. Recent work has shown these processors to be more area- and energy-efficient th...
Brucek Khailany, William J. Dally, Scott Rixner, U...
CISIS
2010
IEEE
16 years 1 months ago
Scalability Analysis of Progressive Alignment on a Multicore
—Sequence alignment is a fundamental instrument in Bioinformatics. In recent years, numerous proposals have been addressing the problem of accelerating this class of applications...
Sebastian Isaza, Friman Sánchez, Georgi Gay...