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» Software performance modelling using PEPA nets
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NIPS
2007
13 years 9 months ago
Using Deep Belief Nets to Learn Covariance Kernels for Gaussian Processes
We show how to use unlabeled data and a deep belief net (DBN) to learn a good covariance kernel for a Gaussian process. We first learn a deep generative model of the unlabeled da...
Ruslan Salakhutdinov, Geoffrey E. Hinton
HICSS
1995
IEEE
110views Biometrics» more  HICSS 1995»
13 years 11 months ago
Reliability analysis of CSP specifications using Petri nets and Markov processes
In our research we are developing methodologiesand tools to permit stochastic analyses of CSP-based system specifications. In this regard, we have been developing morphismsbetween...
Krishna M. Kavi, Frederick T. Sheldon, Behrooz Shi...
INFOCOM
2010
IEEE
13 years 6 months ago
Two Samples are Enough: Opportunistic Flow-level Latency Estimation using NetFlow
—The inherent support in routers (SNMP counters or NetFlow) is not sufficient to diagnose performance problems in IP networks, especially for flow-specific problems where the ...
Myungjin Lee, Nick G. Duffield, Ramana Rao Kompell...
FLAIRS
2006
13 years 9 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
HASE
1999
IEEE
13 years 12 months ago
Quantitative Evaluation of Dependability Critical Systems Based on Guarded Statechart Models
The paper introduces a method to model embedded dependability-critical systems as AND-composition of Guarded Statecharts which are special UMLstatecharts. With Guarded Statecharts...
Mario Dal Cin, Gábor Huszerl, Konstantinos ...