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» Performance data collection using a hybrid approach
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ITICSE
2009
ACM
15 years 8 months ago
Hybrid and custom data structures: evolution of the data structures course
The topic of data structures has historically been taught with two major focuses: first, the basic definition and implementation of a small set of basic data structures (e.g. list...
Daniel J. Ernst, Daniel E. Stevenson, Paul J. Wagn...
ICCV
2009
IEEE
14 years 11 months ago
A hybrid generative/discriminative classification framework based on free-energy terms
Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
ICDCS
2011
IEEE
14 years 29 days ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
ML
2008
ACM
15 years 1 months ago
A bias/variance decomposition for models using collective inference
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
Jennifer Neville, David Jensen
DATE
2007
IEEE
98views Hardware» more  DATE 2007»
15 years 7 months ago
A one-shot configurable-cache tuner for improved energy and performance
We introduce a new non-intrusive on-chip cache-tuning hardware module capable of accurately predicting the best configuration of a configurable cache for an executing application....
Ann Gordon-Ross, Pablo Viana, Frank Vahid, Walid A...