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134
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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 9 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
ISORC
2007
IEEE
15 years 11 months ago
Time-Predictable Task Preemption for Real-Time Systems with Direct-Mapped Instruction Cache
Modern processors used in embedded systems are becoming increasingly powerful, having features like caches and pipelines to speedup execution. While execution speed of embedded so...
Raimund Kirner, Peter P. Puschner
RTSS
2007
IEEE
15 years 11 months ago
Toward the Predictable Integration of Real-Time COTS Based Systems
The integration phase of real-time COTS-based systems is often problematic because when multiple tasks run concurrently, the interference at the bus level between cache fetching a...
Rodolfo Pellizzoni, Marco Caccamo
146
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BMCBI
2007
173views more  BMCBI 2007»
15 years 5 months ago
Predicting state transitions in the transcriptome and metabolome using a linear dynamical system model
Background: Modelling of time series data should not be an approximation of input data profiles, but rather be able to detect and evaluate dynamical changes in the time series dat...
Ryoko Morioka, Shigehiko Kanaya, Masami Y. Hirai, ...
CSMR
2008
IEEE
15 years 11 months ago
Trend Analysis and Issue Prediction in Large-Scale Open Source Systems
Effort to evolve and maintain a software system is likely to vary depending on the amount and frequency of change requests. This paper proposes to model change requests as time se...
Bénédicte Kenmei, Giuliano Antoniol,...