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» Prediction on Spike Data Using Kernel Algorithms
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166
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PE
2010
Springer
138views Optimization» more  PE 2010»
15 years 1 months ago
Trace data characterization and fitting for Markov modeling
We propose a trace fitting algorithm for Markovian Arrival Processes (MAPs) that can capture statistics of any order of interarrival times between measured events. By studying re...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
CIKM
2009
Springer
15 years 9 months ago
Role of weak ties in link prediction of complex networks
Plenty of algorithms for link prediction have been proposed and were applied to various real networks. Among these works, the weights of links are rarely taken into account. In th...
Linyuan Lu, Tao Zhou
154
Voted
CORR
2010
Springer
177views Education» more  CORR 2010»
15 years 2 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
123
Voted
ICML
2005
IEEE
16 years 3 months ago
Healing the relevance vector machine through augmentation
The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Carl Edward Rasmussen, Joaquin Quiñonero Ca...
115
Voted
SIGMETRICS
2003
ACM
106views Hardware» more  SIGMETRICS 2003»
15 years 7 months ago
On the effectiveness of movement prediction to reduce energy consumption in wireless communication
—Node movement can be exploited to reduce the energy consumption of wireless network communication. The strategy consists in delaying communication until a mobile node moves clos...
Srijan Chakraborty, David K. Y. Yau, John C. S. Lu...