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ICASSP
2011
IEEE
14 years 5 months ago
Online Kernel SVM for real-time fMRI brain state prediction
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
Yongxin Taylor Xi, Hao Xu, Ray Lee, Peter J. Ramad...
BMCBI
2008
162views more  BMCBI 2008»
15 years 2 months ago
Improved identification of conserved cassette exons using Bayesian networks
Background: Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using...
Rileen Sinha, Michael Hiller, Rainer Pudimat, Ulri...
PDCAT
2009
Springer
15 years 8 months ago
CheCUDA: A Checkpoint/Restart Tool for CUDA Applications
Abstract—In this paper, a tool named CheCUDA is designed to checkpoint CUDA applications that use GPUs as accelerators. As existing checkpoint/restart implementations do not supp...
Hiroyuki Takizawa, Katsuto Sato, Kazuhiko Komatsu,...
ICDE
2009
IEEE
140views Database» more  ICDE 2009»
16 years 3 months ago
Predicting Multiple Metrics for Queries: Better Decisions Enabled by Machine Learning
One of the most challenging aspects of managing a very large data warehouse is identifying how queries will behave before they start executing. Yet knowing their performance charac...
Archana Ganapathi, Harumi A. Kuno, Umeshwar Dayal,...
ISPASS
2007
IEEE
15 years 8 months ago
Accelerating Full-System Simulation through Characterizing and Predicting Operating System Performance
The ongoing trend of increasing computer hardware and software complexity has resulted in the increase in complexity and overheads of cycle-accurate processor system simulation, e...
Seongbeom Kim, Fang Liu, Yan Solihin, Ravi R. Iyer...