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WCRE
2007
IEEE
13 years 11 months ago
Parametric Process Model Inference
Legacy applications can be difficult and time-consuming to understand and update due to the lack of modern abstraction mechanisms in legacy languages, as well as the gradual dete...
Saurabh Sinha, G. Ramalingam, Raghavan Komondoor
CSDA
2008
117views more  CSDA 2008»
13 years 5 months ago
Parametric and nonparametric Bayesian model specification: A case study involving models for count data
In this paper we present the results of a simulation study to explore the ability of Bayesian parametric and nonparametric models to provide an adequate fit to count data, of the t...
Milovan Krnjajic, Athanasios Kottas, David Draper
IWMM
2010
Springer
140views Hardware» more  IWMM 2010»
13 years 7 months ago
Parametric inference of memory requirements for garbage collected languages
The accurate prediction of program's memory requirements is a critical component in software development. Existing heap space analyses either do not take deallocation into ac...
Elvira Albert, Samir Genaim, Miguel Gómez-Z...
ICCAD
1995
IEEE
180views Hardware» more  ICCAD 1995»
13 years 9 months ago
Design based analog testing by Characteristic Observation Inference
In this paper, a new approach to analog test design based on the circuit design process, called Characteristic Observation Inference (COI), is presented. In many situations, it is...
Walter M. Lindermeir, Helmut E. Graeb, Kurt Antrei...
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 5 months ago
Distributed and Recursive Parameter Estimation in Parametrized Linear State-Space Models
We consider a network of sensors deployed to sense a spatio-temporal field and infer parameters of interest about the field. We are interested in the case where each sensor's...
S. Sundhar Ram, Venugopal V. Veeravalli, Angelia N...