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WSC
2008
14 years 11 days ago
Using data driven simulation to build inventory model
Many general-purpose simulation languages (such as ARENA, SLAM II, GPSS/H, SIMAN etc) have been the major simulation tools to simulate the demand-supply processes. They have made ...
Minghui Yang
ICDE
2003
IEEE
145views Database» more  ICDE 2003»
14 years 11 months ago
PXML: A Probabilistic Semistructured Data Model and Algebra
Despite the recent proliferation of work on semistructured data models, there has been little work to date on supporting uncertainty in these models. In this paper, we propose a m...
Edward Hung, Lise Getoor, V. S. Subrahmanian
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
14 years 4 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
IJAR
2010
152views more  IJAR 2010»
13 years 8 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
NIPS
2008
13 years 11 months ago
Stochastic Relational Models for Large-scale Dyadic Data using MCMC
Stochastic relational models (SRMs) [15] provide a rich family of choices for learning and predicting dyadic data between two sets of entities. The models generalize matrix factor...
Shenghuo Zhu, Kai Yu, Yihong Gong