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CLOUDCOM
2010
Springer
15 years 3 months ago
Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services
Abstract--The cloud computing model aims to make largescale data-intensive computing affordable even for users with limited financial resources, that cannot invest into expensive i...
Jesús Montes, Bogdan Nicolae, Gabriel Anton...
IPPS
2010
IEEE
15 years 3 months ago
Improving numerical reproducibility and stability in large-scale numerical simulations on GPUs
The advent of general purpose graphics processing units (GPGPU's) brings about a whole new platform for running numerically intensive applications at high speeds. Their multi-...
Michela Taufer, Omar Padron, Philip Saponaro, Sand...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
16 years 5 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 ...
KDD
2004
ACM
179views Data Mining» more  KDD 2004»
16 years 5 months ago
1-dimensional splines as building blocks for improving accuracy of risk outcomes models
Transformation of both the response variable and the predictors is commonly used in fitting regression models. However, these transformation methods do not always provide the maxi...
David S. Vogel, Morgan C. Wang
MOBISYS
2007
ACM
16 years 4 months ago
Improving mobile database access over wide-area networks without degrading consistency
We report on the design, implementation, and evaluation of a system called Cedar that enables mobile database access with good performance over low-bandwidth networks. This is acc...
Niraj Tolia, Mahadev Satyanarayanan, Adam Wolbach