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JSAC
2006
88views more  JSAC 2006»
13 years 9 months ago
OSNR optimization in optical networks: modeling and distributed algorithms via a central cost approach
Abstract-- This paper addresses the problem of optical signalto-noise ratio (OSNR) optimization in optical networks. An analytical OSNR network model is developed for a general mul...
L. Pavel
SIGMETRICS
2008
ACM
101views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
How to parameterize models with bursty workloads
Although recent advances in theory indicate that burstiness in the service time process can be handled effectively by queueing models (e.g., MAP queueing networks [2]), there is a...
Giuliano Casale, Ningfang Mi, Ludmila Cherkasova, ...
ICAISC
2010
Springer
14 years 1 months ago
Quasi-parametric Recovery of Hammerstein System Nonlinearity by Smart Model Selection
In the paper we recover a Hammerstein system nonlinearity. Hammerstein systems, incorporating nonlinearity and dynamics, play an important role in various applications, and e¤ecti...
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwi...
SIGIR
1999
ACM
14 years 1 months ago
A Similarity-based Probability Model for Latent Semantic Indexing
A dual probability model is constructed for the Latent Semantic Indexing LSI using the cosine similarity measure. Both the document-document similarity matrix and the term-term ...
Chris H. Q. Ding
COGSCI
2008
65views more  COGSCI 2008»
13 years 9 months ago
A Survey of Model Evaluation Approaches With a Tutorial on Hierarchical Bayesian Methods
We review current methods for evaluating models in the cognitive sciences, including theoretically-based approaches, such as Bayes Factors and MDL measures, simulation approaches,...
Richard M. Shiffrin, Michael D. Lee, Woojae Kim, E...