Sciweavers

Share
warning: Creating default object from empty value in /var/www/modules/taxonomy/taxonomy.module on line 1416.
ICSE
2011
IEEE-ACM
10 years 5 months ago
Inferring better contracts
Considerable progress has been made towards automatic support for one of the principal techniques available to enhance program reliability: equipping programs with extensive contr...
Yi Wei, Carlo A. Furia, Nikolay Kazmin, Bertrand M...
CSDA
2008
67views more  CSDA 2008»
11 years 1 months ago
How useful are approximations to mean and variance of the index of dissimilarity?
Sociologists, demographers, and economists often use the index of dissimilarity, D, to describe the extent of racial, ethnic, spatial, or areal dissimilarity (or segregation) of d...
Madhuri S. Mulekar, John C. Knutson, Jyoti A. Cham...
EMMCVPR
2005
Springer
11 years 7 months ago
Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
Abstract. Estimation of parameters of random field models from labeled training data is crucial for their good performance in many image analysis applications. In this paper, we p...
Sanjiv Kumar, Jonas August, Martial Hebert
ICDM
2005
IEEE
137views Data Mining» more  ICDM 2005»
11 years 7 months ago
Leveraging Relational Autocorrelation with Latent Group Models
The presence of autocorrelation provides a strong motivation for using relational learning and inference techniques. Autocorrelation is a statistical dependence between the values...
Jennifer Neville, David Jensen
INFOCOM
2006
IEEE
11 years 7 months ago
Formal Analysis of Passive Measurement Inference Techniques
Abstract— Verifying the accuracy of a passive measurementsbased inference technique under all possible network scenarios is a difficult challenge - the measurement point has lim...
Sharad Jaiswal, Gianluca Iannaccone, James F. Kuro...
SAT
2009
Springer
91views Hardware» more  SAT 2009»
11 years 8 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
books