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» Optimizing for parallelism and data locality
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FLAIRS
2004
15 years 7 months ago
The Optimality of Naive Bayes
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
Harry Zhang
NN
2007
Springer
267views Neural Networks» more  NN 2007»
15 years 5 months ago
Modeling of gene regulatory networks with hybrid differential evolution and particle swarm optimization
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...
ITIIS
2010
94views more  ITIIS 2010»
15 years 4 months ago
AFSO: An Adaptative Frame Size Optimization Mechanism for 802.11 Networks
In this paper, we analyze the impact of different frame types on self-similarity and burstiness characteristics of the aggregated frame traffic from a real 802.11 wireless local a...
Xiaohu Ge, Cheng-Xiang Wang, Yang Yang, Lei Shu, C...
DAC
1996
ACM
15 years 10 months ago
Optimal Clock Skew Scheduling Tolerant to Process Variations
1- A methodology is presented in this paper for determining an optimal set of clock path delays for designing high performance VLSI/ULSI-based clock distribution networks. This met...
José Luis Neves, Eby G. Friedman
CLUSTER
2008
IEEE
16 years 20 days ago
Live and incremental whole-system migration of virtual machines using block-bitmap
—In this paper, we describe a whole-system live migration scheme, which transfers the whole system run-time state, including CPU state, memory data, and local disk storage, of th...
Yingwei Luo, Binbin Zhang, Xiaolin Wang, Zhenlin W...