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» On Fitting Mixture Models
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CMPB
2002
90views more  CMPB 2002»
15 years 6 months ago
Bivariate linear mixed models using SAS proc MIXED
Bivariate linear mixed models are useful when analyzing longitudinal data of two associated markers. In this paper, we present a bivariate linear mixed model including random effe...
Rodolphe Thiébaut, Hélène Jac...
CAISE
2010
Springer
15 years 1 months ago
Configuring the Variability of Business Process Models Using Non-Functional Requirements
The existence of variations in the organizational environment makes the configuration of business process models a complex activity, even for experienced business analysts. The inc...
Emanuel Santos, João Pimentel, Jaelson Cast...
CVPR
1997
IEEE
16 years 8 months ago
A Four-step Camera Calibration Procedure with Implicit Image Correction
In geometrical camera calibration the objective is to determine a set of camera parameters that describe the mapping between 3-D reference coordinates and 2-D image coordinates. V...
Janne Heikkilä, Olli Silvén
CHI
2009
ACM
16 years 7 months ago
Hand occlusion with tablet-sized direct pen input
We present results from an experiment examining the area occluded by the hand when using a tablet-sized direct pen input device. Our results show that the pen, hand, and forearm c...
Daniel Vogel, Géry Casiez, Liam Keliher, Ma...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
16 years 23 days ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...