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Referencing [7, 9], this article adopts the commonly used running time and speedup ratio to evaluate the performance of parallel programs.
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Using running time polynomial in (1/delta), n, (1/gamma) and s, boosting algorithm outputs an accurate forecast model (H) that with probability at least (1 - delta) is (gamma) -close to c under D. As defined the class h required having a prediction error slightly better than 1/2 with respect to the distribution D on which it is trained.
The key characteristics of the Titan framework are (i) a service-oriented programming model that allows a representation of an activity-aware application as a service graph regardless of the effectively used run-time resources.
Custom services can be downloaded to realize the core logic of Pervasive Apps. . a service-oriented programming model that allows a representation of an activity-aware application as a service graph regardless of the effectively used run-time resources.
'Much Ado About Nothing' -- 3 1/2 stars MPAA rating: PG-13 (for some sexuality and brief drug use) Running time: 1 49 Opens: Friday.
Dynamic Software Product Lines (DSPL) encompass systems that are capable of modifying their own behavior with respect to changes in their operating environment by using run-time reconfigurations.
In the proposed models, we will use run-time determination of the backoff path, although we will use only one path simultaneously.
The results show that using run-time reconfiguration can save over 40% area when compared to a functionally equivalent fixed system and achieve 30 times speedup in processing time when compared to a functionally equivalent pure software design.
We present a methodology to build the feature vector by using run-time behaviors by applying online machine learning algorithms for classification of malware samples in a distributed and scalable architecture.
These tasks can be effectively performed only by using train running time models that reliably describe actual speed profiles.
We use the running time on the 2-node configuration as baseline because a single node cannot process all the data due to being out of memory.
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