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GEOS
2007
Springer
14 years 3 months ago
Modeling Spatio-temporal Network Computations: A Summary of Results
Spatio-temporal network is defined by a set of nodes, and a set of edges, where the properties of nodes and edges may vary over time. Such networks are encountered in a variety of...
Betsy George, Shashi Shekhar
SSD
2009
Springer
149views Database» more  SSD 2009»
14 years 4 months ago
Analyzing Trajectories Using Uncertainty and Background Information
A key issue in clustering data, regardless the algorithm used, is the definition of a distance function. In the case of trajectory data, different distance functions have been pro...
Bart Kuijpers, Bart Moelans, Walied Othman, Alejan...
BMCBI
2006
94views more  BMCBI 2006»
13 years 9 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
INFOCOM
2003
IEEE
14 years 2 months ago
Modeling Peer-Peer File Sharing Systems
— Peer-peer networking has recently emerged as a new paradigm for building distributed networked applications. In this paper we develop simple mathematical models to explore and ...
Zihui Ge, Daniel R. Figueiredo, Sharad Jaiswal, Ja...
GLVLSI
2007
IEEE
194views VLSI» more  GLVLSI 2007»
14 years 1 months ago
Probabilistic maximum error modeling for unreliable logic circuits
Reliability modeling and evaluation is expected to be one of the major issues in emerging nano-devices and beyond 22nm CMOS. Such devices would have inherent propensity for gate f...
Karthikeyan Lingasubramanian, Sanjukta Bhanja