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» Statistical Modelling of CSP Solving Algorithms Performance
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SRDS
2008
IEEE
14 years 3 months ago
Probabilistic Failure Detection for Efficient Distributed Storage Maintenance
Distributed storage systems often use data replication to mask failures and guarantee high data availability. Node failures can be transient or permanent. While the system must ge...
Jing Tian, Zhi Yang, Wei Chen, Ben Y. Zhao, Yafei ...
BMCBI
2010
171views more  BMCBI 2010»
13 years 9 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
14 years 1 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....
CCR
2005
76views more  CCR 2005»
13 years 8 months ago
Simplifying the synthesis of internet traffic matrices
A recent paper [8] presented methods for several steps along the road to synthesis of realistic traffic matrices. Such synthesis is needed because traffic matrices are a crucial i...
Matthew Roughan
NECO
2007
150views more  NECO 2007»
13 years 8 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir