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VISSYM
2007
15 years 3 months ago
See What You Know: Analyzing Data Distribution to Improve Density Map Visualization
Density maps allow for visually rendering density differences, usually mapping density values to a grey or color scale. The paper analyzes the drawbacks arising from the commonly ...
Enrico Bertini, Alessio Di Girolamo, Giuseppe Sant...
96
Voted
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
15 years 6 months ago
Real-coded crossover as a role of kernel density estimation
This paper presents a kernel density estimation method by means of real-coded crossovers. Estimation of density algorithms (EDAs) are evolutionary optimization techniques, which d...
Jun Sakuma, Shigenobu Kobayashi
104
Voted
CSDA
2007
126views more  CSDA 2007»
15 years 19 days ago
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities
This article proposes a Bayesian infinite mixture model for the estimation of the conditional density of an ergodic time series. A nonparametric prior on the conditional density ...
Yongqiang Tang, Subhashis Ghosal
93
Voted
ICSE
2005
IEEE-ACM
16 years 23 days ago
Static analysis tools as early indicators of pre-release defect density
During software development it is helpful to obtain early estimates of the defect density of software components. Such estimates identify fault-prone areas of code requiring furth...
Nachiappan Nagappan, Thomas Ball
85
Voted
CSDA
2008
89views more  CSDA 2008»
15 years 23 days ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin