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224
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KDD
2009
ACM
230views Data Mining» more  KDD 2009»
15 years 12 months ago
Grouped graphical Granger modeling methods for temporal causal modeling
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
Aurelie C. Lozano, Naoki Abe, Yan Liu, Saharon Ros...
216
Voted
BMCBI
2010
140views more  BMCBI 2010»
15 years 7 months ago
Quantification and deconvolution of asymmetric LC-MS peaks using the bi-Gaussian mixture model and statistical model selection
Background: Liquid chromatography-mass spectrometry (LC-MS) is one of the major techniques for the quantification of metabolites in complex biological samples. Peak modeling is on...
Tianwei Yu, Hesen Peng
ER
2007
Springer
105views Database» more  ER 2007»
16 years 1 months ago
Clarifying Goal Models
Representation and reasoning about information system (IS) requirements is facilitated with the use of goal models to describe the desired and undesired IS behaviors. One difficul...
Ivan Jureta, Stéphane Faulkner
FSS
2008
130views more  FSS 2008»
15 years 7 months ago
A fuzzy k-partitions model for categorical data and its comparison to the GoM model
The grade of membership (GoM) model uses fuzzy sets as memberships of each individual to extreme profiles (or classes) on the likelihood function of multivariate multinomial distr...
Miin-Shen Yang, Yu-Hsuan Chiang, Chiu-Chi Chen, Ch...
ICIP
2004
IEEE
16 years 9 months ago
Robust ego-motion estimation and 3d model refinement using depth based parallax model
We present an iterative algorithm for robustly estimating the egomotion and refining and updating a coarse, noisy and partial depth map using a depth based parallax model and brig...
Amit K. Agrawal, Rama Chellappa