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IPSN
2004
Springer
16 years 5 hour ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
RTA
2010
Springer
15 years 10 months ago
Termination of linear bounded term rewriting systems
For the whole class of linear term rewriting systems and for each integer k, we define k-bounded rewriting as a restriction of the usual notion of rewriting. We show that the k-bo...
Irène Durand, Géraud Sénizerg...
AVI
2004
15 years 8 months ago
ValueCharts: analyzing linear models expressing preferences and evaluations
In this paper we propose ValueCharts, a set of visualizations and interactive techniques intended to support decision-makers in inspecting linear models of preferences and evaluat...
Giuseppe Carenini, John Loyd
KDD
2008
ACM
186views Data Mining» more  KDD 2008»
16 years 7 months ago
Cut-and-stitch: efficient parallel learning of linear dynamical systems on smps
Multi-core processors with ever increasing number of cores per chip are becoming prevalent in modern parallel computing. Our goal is to make use of the multi-core as well as multi...
Lei Li, Wenjie Fu, Fan Guo, Todd C. Mowry, Christo...
ICTIR
2009
Springer
16 years 1 months ago
PageRank: Splitting Homogeneous Singular Linear Systems of Index One
Abstract. The PageRank algorithm is used today within web information retrieval to provide a content-neutral ranking metric over web pages. It employs power method iterations to so...
Douglas V. de Jager, Jeremy T. Bradley